DISPLAY

DISPLAY DICTIONARY.

Variable	Description	Position
YEAR	Label: GSS year for this respondent Format: F4.0 Measure: Scale Display Width: 8	1
ID	Label: Respondent ID number Format: F4.0 Measure: Scale Display Width: 8	2
WRKSTAT	Label: Labor force status Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 WORKING FULLTIME 2 WORKING PARTTIME 3 TEMP NOT WORKING 4 UNEMPL, LAID OFF 5 RETIRED 6 SCHOOL 7 KEEPING HOUSE 8 OTHER 9 NA	3
HRS1	Label: Number of hours worked last week Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 89 89+ hrs 98 DK 99 NA	4
HRS2	Label: Number of hours usually work a week Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 89 89+ hrs 98 DK 99 NA	5
EVWORK	Label: Ever work as long as one year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	6
OCC	Label: R's census occupation code (1970) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	7
PRESTIGE	Label: R's occupational prestige score(1970) Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	8
WRKSLF	Label: R self-emp or works for somebody Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 8 DK 9 NA	9
WRKGOVT	Label: Govt or private employee Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVERNMENT 2 PRIVATE 8 DK 9 NA	10
COMMUTE	Label: Travel time to work Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97+ MINUTES 98 DK 99 NA	11
INDUSTRY	Label: R's industry code (1970) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	12
OCC80	Label: R's census occupation code (1980) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 3 Legislators 4 Chief Executives and General Admin., Public Admin 5 Administrators and Officials, Public Administration 6 Administrators, Protective Service 7 Financial Managers 8 Personnel and Labor Relations Managers 9 Purchasing Managers 13 Managers, Marketing, Advertising, and Public Relations 14 Administrators, Education and Related Fields 15 Managers, Medicine and Health 16 Managers, Properties and Real Estate 17 Postmasters and Mail Superintendents 18 Funeral Directors 19 Managers and Administrators, n.e.c. 23 Accountants and Auditors 24 Underwriters 25 Other Financial Officers 26 Management Analysts 27 Personnel, Training, and Labor Relations Specialists 28 Purchasing Agents and Buyers, Farm Products 29 Buyers, Wholesale and Retail Trade Except Farm Products 33 Purchasing Agents and Buyers 34 Business and Promotion Agents 35 Construction Inspectors 36 Inspectors/Compliance Officers, Except Construction 37 Management Related Occupations, n.e.c. 43 Architects 44 Aerospace Engineers 45 Metallurgical and Materials Engineers 46 Mining Engineers 47 Petroleum Engineers 48 Chemical Engineers 49 Nuclear Engineers 53 Civil Engineers 54 Agricultural Engineers 55 Electrical and Electronic Engineers 56 Industrial Engineers 57 Mechanical Engineers 58 Marine and Naval Architects 59 Engineers, n.e.c. 63 Surveyors and Mapping Scientists 64 Computer Systems Analysts and Scientists 65 Operations and Systems Researchers and Analysts 66 Actuaries 67 Statisticians 68 Mathematical Scientists, n.e.c. 69 Physicists and Astronomers 73 Chemists, Except Biochemists 74 Atmospheric and Space Scientists 75 Geologists and Geodesists 76 Physical Scientists, n.e.c. 77 Agricultural and Food Scientists 78 Biological and Life Scientists 79 Forestry and Conservation Scientists 83 Medical Scientists 84 Physicians 85 Dentists 86 Veterinarians 87 Optometrists 88 Podiatrists 89 Health Diagnosing Practitioners, n.e.c. 95 Registered Nurses 96 Pharmacists 97 Dietitians 98 Inhalation Therapists 99 Occupational Therapists 103 Physical Therapists 104 Speech Therapists 105 Therapists, n.e.c. 106 Physicians' Assistants 113 Earth, Environmental, and Marine Science Teachers 114 Biological Science Teachers 115 Chemistry Teachers 116 Physics Teachers 117 Natural Science Teachers, n.e.c. 118 Psychology Teachers 119 Economics Teachers 123 History Teachers 124 Political Science Teachers 125 Sociology Teachers 126 Social Science Teachers, n.e.c. 127 Engineering Teachers 128 Mathematical Science Teachers 129 Computer Science Teachers 133 Medical Science Teachers 134 Health Specialties Teachers 135 Business, Commerce, and Marketing Teachers 136 Agriculture and Forestry Teachers 137 Art, Drama, and Music Teachers 138 Physical Education Teachers 139 Education Teachers 143 English Teachers 144 Foreign Language Teachers 145 Law Teachers 146 Social Work Teachers 147 Theology Teachers 148 Trade and Industrial Teachers 149 Home Economics Teachers 153 Teachers, Postsecondary, n.e.c. 154 Postsecondary Teachers, Subject Not Specified 155 Teachers, Prekindergarten and Kindergarten 156 Teachers, Elementary School 157 Teachers, Secondary School 158 Teachers, Special Education 159 Teachers, n.e.c. 163 Counselors, Educational and Vocational 164 Librarians 165 Archivists and Curators 166 Economists 167 Psychologists 168 Sociologists 169 Social Scientists, n.e.c. 173 Urban Planners 174 Social Workers 175 Recreation Workers 176 Clergy 177 Religious Workers, n.e.c. 178 Lawyers 179 Judges 183 Authors 184 Technical Writers 185 Designers 186 Musicians and Composers 187 Actors and Directors 188 Painters, Sculptors, Craft-Artists, and Printmakers 189 Photographers 193 Dancers 194 Artists, Performers, and Related Workers, n.e.c. 195 Editors and Reporters 197 Public Relations Specialists 198 Announcers 199 Athletes 203 Clinical Laboratory Technologists and Technicians 204 Dental Hygienists 205 Health Record Technologists and Technicians 206 Radiologic Technicians 207 Licensed Practical Nurses 208 Health Technologists and Technicians, n.e.c. 213 Electrical and Electronic Technicians 214 Industrial Engineering Technicians 215 Mechanical Engineering Technicians 216 Engineering Technicians, n.e.c. 217 Drafting Occupations 218 Surveying and Mapping Technicians 223 Biological Technicians 224 Chemical Technicians 225 Science Technicians, n.e.c. 226 Airplane Pilots and Navigators 227 Air Traffic Controllers 228 Broadcast Equipment Operators 229 Computer Programmers 233 Tool Programmers, Numerical Control 234 Legal Assistants 235 Technicians, n.e.c. 243 Supervisors and Proprietors, Sales Occupations 253 Insurance Sales Occupations 254 Real Estate Sales Occupations 255 Securities and Financial Services Sales Occupations 256 Advertising and Related Sales Occupations 257 Sales Occupations, Other Business Services 258 Sales Engineers 259 Sales Rep., Mining, Manufacturing, and Wholesale 263 Sales Workers, Motor Vehicles and Boats 264 Sales Workers, Apparel 265 Sales Workers, Shoes 266 Sales Workers, Furniture and Home Furnishings 267 Sales Workers, Radio, TV, Hi-Fi, and Appliances 268 Sales Workers, Hardware and Building Supplies 269 Sales Workers, Parts 274 Sales Workers, Other Commodities 275 Sales Counter Clerks 276 Cashiers 277 Street and Door-To-Door Sales Workers 278 News Vendors 283 Demonstrators, Promoters and Models, Sales 284 Auctioneers 285 Sales Support Occupations, n.e.c. 303 Supervisors, General Office 304 Supervisors, Computer Equipment Operators 305 Supervisors, Financial Records Processing 306 Chief Communications Operators 307 Supervisors, Distribution, Scheduling, and Adjusting Clerks 308 Computer Operators 309 Peripheral Equipment Operators 313 Secretaries 314 Stenographers 315 Typists 316 Interviewers 317 Hotel Clerks 318 Transportation Ticket and Reservation Agents 319 Receptionists 323 Information Clerks, n.e.c. 325 Classified-Ad Clerks 326 Correspondence Clerks 327 Order Clerks 328 Personnel Clerks, Except Payroll and Timekeeping 329 Library Clerks 335 File Clerks 336 Records Clerks 337 Bookkeepers, Accounting and Auditing Clerks 338 Payroll and Timekeeping Clerks 339 Billing Clerks 343 Cost and Rate Clerks 344 Billing, Posting, and Calculating Machine Operators 345 Duplicating Machine Operators 346 Mail Preparing and Paper Handling Machine Operators 347 Office Machine Operators, n.e.c. 348 Telephone Operators 349 Telegraphers 353 Communications Equipment Operators, n.e.c. 354 Postal Clerks, Excluding Mail Carriers 355 Mail Carriers, Postal Service 356 Mail Clerks, Excluding Postal Service 357 Messengers 359 Dispatchers 363 Production Coordinators 364 Traffic, Shipping and Receiving Clerks 365 Stock and Inventory Clerks 366 Meter Readers 368 Weighers, Measurers, and Checkers 369 Samplers 373 Expediters 374 Material Recording, Scheduling and Distributing Clerks, n.e.c. 375 Insurance Adjusters, Examiners, and Investigators 376 Investigators and Adjusters, Except Insurance 377 Eligibility Clerks, Social Welfare 378 Bill and Account Collectors 379 General Office Clerks 383 Bank Tellers 384 Proofreaders 385 Data-Entry Keyers 386 Statistical Clerks 387 Teachers' Aides 389 Administrative Support Occupations, n.e.c. 403 Launderers and Ironers 404 Cooks, Private Household 405 Housekeepers and Butlers 406 Child Care Workers, Private Household 407 Private Household Cleaners and Servants 413 Supervisors, Firefighting and Fire Prevention Occupations 414 Supervisors, Police and Detectives 415 Supervisors, Guards 416 Fire Inspection and Fire Prevention Occupations 417 Firefighting Occupations 418 Police and Detectives, Public Service 423 Sheriffs, Bailiffs, and Other Law Enforcement Officers 424 Correctional Institution Officers 425 Crossing Guards 426 Guards and Police, Excluding Public Service 427 Protective Service Occupations 430 Former Member of the Armed Forces 431 Current Member of the Armed Forces 433 Supervisors, Food Preparation and Service Occupations 434 Bartenders 435 Waiters and Waitresses 436 Cooks, Except Short Order 437 Short-Order Cooks 438 Food Counter, Fountain and Related Occupations 439 Kitchen Workers, Food Preparation 443 Waiters'/Waitresses' Assistants 444 Miscellaneous Food Preparation Occupations 445 Dental Assistants 446 Health Aids, Except Nursing 447 Nursing Aides, Orderlies and Attendants 448 Supervisors, Cleaning and Building Service Workers 449 Maids and Housemen 453 Janitors and Cleaners 454 Elevator Operators 455 Pest Control Occupations 456 Supervisors, Personal Service Occupations 457 Barbers 458 Hairdressers and Cosmetologists 459 Attendants, Amusement and Recreation Facilities 463 Guides 464 Ushers 465 Public Transportation Attendants 466 Baggage Porters and Bellhops 467 Welfare Service Aides 468 Child Care Workers, Except Private Household 469 Personal Service Occupations, n.e.c. 473 Farmers, Except Horticultural 474 Horticultural Specialty Farmers 475 Managers, Farms, Except Horticultural 476 Managers, Horticultural Specialty Farms 477 Supervisors, Farm Workers 479 Farm Workers 483 Marine Life Cultivation Workers 484 Nursery Workers 485 Supervisors, Related Agricultural Occupations 486 Groundskeepers and Gardeners, Except Farm 487 Animal Caretakers, Except Farm 488 Graders and Sorters, Agricultural Products 489 Inspectors, Agricultural Products 494 Supervisors, Forestry and Logging Workers 495 Forestry Workers, Except Logging 496 Timber Cutting and Logging Occupations 497 Captains and Other Officers, Fishing Vessels 498 Fishers 499 Hunters and Trappers 503 Supervisors, Mechanics and Repairers 505 Automobile Mechanics, Except Apprentices 506 Automobile Mechanic Apprentices 507 Bus, Truck, and Stationary Engine Mechanics 508 Aircraft Engine Mechanics 509 Small Engine Repairers 514 Automobile Body and Related Repairers 515 Aircraft Mechanics, Excluding Engine 516 Heavy Equipment Mechanics 517 Farm Equipment Mechanics 518 Industrial Machinery Repairers 519 Machinery Maintenance Occupations 523 Electronic Repairers, Communications and Industrial Equipment 525 Data Processing Equipment Repairers 526 Household Appliance and Power Tool Repairers 527 Telephone Line Installers and Repairers 529 Telephone Installers and Repairers 533 Misc. Electrical and Electronic Equipment Repairers 534 Heating, Air Conditioning, and Refrigeration Mechanics 535 Camera, Watch, and Musical Instrument Repairers 536 Locksmiths and Safe Repairers 538 Office Machine Repairers 539 Mechanical Controls and Valve Repairers 543 Elevator Installers and Repairers 544 Millwrights 547 Specified Mechanics and Repairers, n.e.c. 549 Not Specified Mechanics and Repairers 553 Supervisors, Brickmasons, Stonemasons, and Title Setters 554 Supervisors, Carpenters and Related Work 555 Supervisors, Electricians and Power Transmission Installers 556 Supervisors, Painters, Paperhangers, and Plasterers 557 Supervisors, Plumbers, Pipefitters, and Steamfitters 558 Supervisors, n.e.c. 563 Brickmasons and Stonemasons, Except Apprentices 564 Brickmasons and Stonemasons Apprentices 565 Tile Setters, Hard and Soft 566 Carpet Installers 567 Carpenters, Except Apprentices 569 Carpenter Apprentices 573 Drywall Installers 575 Electricians, Except Apprentices 576 Electrician Apprentices 577 Electrical Power Installers and Repairers 579 Painters, Construction and Maintenance 583 Paperhangers 584 Plasterers 585 Plumbers, Pipefitters, and Steamfitters, Except Apprentices 587 Plumber, Pipefitter, and Steamfitter Apprentices 588 Concrete and Terrazzo Finishers 589 Glaziers 593 Insulation Workers 594 Paving, Surfacing, and Tamping Equipment Operators 595 Roofers 596 Sheetmetal Duct Installers 597 Structural Metal Workers 598 Drillers, Earth 599 Construction Trades, n.e.c. 613 Supervisors, Extractive Occupations 614 Drillers, Oil Well 615 Explosives Workers 616 Mining Machine Operators 617 Mining Occupations, n.e.c. 633 Supervisors, Production Occupations 634 Tool and Die Makers, Except Apprentices 635 Tool and Die Maker Apprentices 636 Precision Assemblers, Metal 637 Machinists, Except Apprentices 639 Machinist Apprentices 643 Boilermakers 644 Precision Grinders, Fitters, and Tool Sharpeners 645 Patternmakers and Model Makers, Metal 646 Lay-Out Workers 647 Precious Stones and Metals Workers 649 Engravers, Metal 653 Sheet Metal Workers, Except Apprentices 654 Sheet Metal Worker, Apprentices 655 Miscellaneous Precision Metal Workers 656 Patternmakers and Model Makers, Wood 657 Cabinet Makers and Bench Carpenters 658 Furniture and Wood Finishers 659 Miscellaneous Precision Woodworkers 666 Dressmakers 667 Tailors 668 Upholsterers 669 Shoe Repairers 673 Apparel and Fabric Patternmakers 674 Miscellaneous Precision Apparel and Fabric Workers 675 Hand Molders and Shapers, Except Jewelers 676 Patternmakers, Lay-Out Workers, and Cutters 677 Optical Goods Workers 678 Dental Laboratory and Medical Appliance Technicians 679 Bookbinders 683 Electrical and Electronic Equipment Assemblers 684 Miscellaneous Precision Workers, n.e.c. 686 Butchers and Meat Cutters 687 Bakers 688 Food Batchmakers 689 Inspectors, Testers, and Graders 693 Adjusters and Calibrators 694 Water and Sewage Treatment Plant Operators 695 Power Plant Operators 696 Stationary Engineers 699 Miscellaneous Plant and System Operators 703 Lathe and Turning Machine Set-Up Operators 704 Lathe and Turning Machine Operators 705 Milling and Planing Machine Operators 706 Punching and Stamping Press Machine Operators 707 Rolling Machine Operators 708 Drilling and Boring Machine Operators 709 Grinding, Abrading, Buffing, and Polishing Machine Operators 713 Forging Machine Operators 714 Numerical control machine operators 715 Miscellaneous Metal, Plastic, Stone, and Glass Working Machine Operators 717 Fabricating Machine Operators, n.e.c. 719 Molding and Casting Machine Operators 723 Metal Plating Machine Operators 724 Heat Treating Equipment Operators 725 Miscellaneous Metal and Plastic Processing Machine Operators 726 Wood Lathe, Routing and Planing Machine Operators 727 Sawing Machine Operators 728 Shaping and Joining Machine Operators 729 Nailing and Tacking Machine Operators 733 Miscellaneous Woodworking Machine Operators 734 Printing Machine Operators 735 Photoengravers and Lithographers 736 Typesetters and Compositors 737 Miscellaneous Printing Machine Operators 738 Winding and Twisting Machine Operators 739 Knitting, Looping, Taping, and Weaving Machine Operators 743 Textile Cutting Machine Operators 744 Textile Sewing Machine Operators 745 Shoe Machine Operators 747 Pressing Machine Operators 748 Laundering and Dry Cleaning Machine Operators 749 Miscellaneous Textile Machine Operators 753 Cementing and Gluing Machine Operators 754 Packaging and Filling Machine Operators 755 Extruding and Forming Machine Operators 756 Mixing and Blending Machine Operators 757 Separating, Filtering, and Clarifying Machine Operators 758 Compressing and Compacting Machine Operators 759 Painting and Paint Spraying Machine Operators 763 Roasting and Baking Machine Operators, Food 764 Washing, Cleaning, and Pickling Machine Operators 765 Folding Machine Operators 766 Furnace, Kiln, and Oven Operators, Except Food 768 Crushing and Grinding Machine Operators 769 Slicing and Cutting Machine Operators 773 Motion Picture Projectionists 774 Photographic Process Machine Operators 777 Miscellaneous and Not Specified Machine Operators, n.e.c. 779 Machine Operators, Not Specified 783 Welders and Cutters 784 Solderers and Blazers 785 Assemblers 786 Hand Cutting and Trimming Occupations 787 Hand Molding, Casting, and Forming Occupations 789 Hand Painting,Coating, and Decorating Occupations 793 Hand Engraving and Printing Occupations 794 Hand Grinding and Polishing Occupations 795 Miscellaneous Hand Working Occupations 796 Production Inspectors, Checkers, and Examiners 797 Production Testers 798 Production Samplers and Weighers 799 Graders and Sorters, Except Agricultural 803 Supervisors, Motor Vehicle Operators 804 Truck Drivers, Heavy 805 Truck Drivers, Light 806 Driver-Sales Workers 808 Bus Drivers 809 Taxicab Drivers and Chauffeurs 813 Parking Lot Attendants 814 Motor Transportation Occupations, n.e.c. 823 Railroad Conductors and Yardmasters 824 Locomotive Operating Occupations 825 Railroad Brake, Signal, and Switch Operators 826 Rail Vehicle Operators, n.e.c. 828 Ship Captains and Mates, Except Fishing Boats 829 Sailors and Deckhands 833 Marine Engineers 834 Bridge, Lock and Lighthouse Tenders 843 Supervisors, Material Moving Equipment Operators 844 Operating Engineers 845 Longshore Equipment Operators 848 Hoist and Winch Operators 849 Crane and Tower Operators 853 Excavating and Loading Machine Operators 855 Grader, Dozer, and Scraper Operators 856 Industrial Truck and Tractor Equipment Operators 859 Miscellaneous Material Moving Equipment Operators 863 Handlers, Equipment Cleaners, Helpers, and Laborers, n.e.c. 864 Helpers, Mechanics and Repairers 865 Helpers, Construction Trades 866 Helpers, Surveyor 867 Helpers, Extractive Occupations 869 Construction Laborers 873 Production Helpers 875 Garbage Collectors 876 Stevedores 877 Stock Handlers and Baggers 878 Machine Feeders and Offbearers 883 Freight, Stock, and Material Handlers, n.e.c. 885 Garage and Service Station Related Occupations 887 Vehicle Washers and Equipment Cleaners 888 Hand Packers and Packagers 889 Laborers, Except Construction 998 DK 999 NA	13
PRESTG80	Label: R's occupational prestige score(1980) Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	14
INDUS80	Label: R's industry code (1980) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 10 Agricultural production, crops 11 Agricultural production, livestock 20 Agricultural services, except horticultural 21 Horticultural services 30 Forestry 31 Fishing, hunting, and trapping, etc. 40 Metal mining 41 Coal mining 42 Crude petroleum and natural gas extraction 50 Nonmetallic mining and quarrying, except fuel 60 CONSTRUCTION 100 Meat products 101 Dairy products 102 Canned and preserved fruits and vegetables 110 Grain mill products 111 Bakery products 112 Sugar and confectionery products 120 Beverage industries 121 Miscellaneous food preparations and kindred products 122 Not specified food industries 130 Tobacco manufactures 132 Knitting mills 140 Dyeing and finishing textiles, except wool and knit goods 141 Floor coverings, except hard surface 142 Yarn, thread, and fabric mills 150 Miscellaneous textile mill products 151 Apparel and accessories, except knit 152 Miscellaneous fabricated textile products 160 Pulp, paper, and paperboard mills 161 Miscellaneous paper and pulp products 162 Paperboard containers and boxes 171 Newspaper publishing and printing 172 Printing, publishing, and allied industries, except newspapers 180 Plastics, synthetics, and resins 181 Drugs 182 Soaps and cosmetics 185 Paints, varnishes, and related products 190 Agricultural chemicals 191 Industrial and miscellaneous chemicals 192 Petroleum and coal products 200 Petroleum refining 201 Miscellaneous petroleum and coal products 210 Tires and inner tubes 211 Other rubber products, and plastics footwear and belting 212 Miscellaneous plastics products 220 Leather tanning and finishing 221 Footwear, except rubber and plastic 222 Leather products, except footwear 230 Logging 231 Sawmills, planning mills, and millwork 232 Wood buildings and mobile homes 241 Miscellaneous wood products 242 Furniture and fixtures 250 Glass and glass products 251 Cement, concrete, gypsum, and plaster products 252 Structural clay products 261 Pottery and related products 262 Miscellaneous nonmetallic mineral and stone products 270 Blast furnaces, steelworks, rolling and finishing mills 271 Iron and steel foundries 272 Primary aluminum industries 280 Other primary metal industries 281 Cutlery, hand tools, and other hardware 282 Fabricated structural metal products 290 Screw machine products 291 Metal forgings and stampings 292 Ordnance 300 Miscellaneous fabricated metal products 301 Not specified metal industries 310 Engines and turbines 311 Farm machinery and equipment 312 Construction and material handling machines 320 Metalworking machinery 321 Office and accounting machines 322 Electronic computing equipment 331 Machinery, except electrical, n.e.c. 332 Not specified machinery 340 Household appliances 341 Radio, TV, and communication equipment 342 Electrical machinery, equipment, and supplies, n.e.c. 350 Not specified electrical machinery, equipment, and supplies 351 Motor vehicles and motor vehicle equipment 352 Aircraft and parts 360 Ship and boat building and repairing 361 Railroad locomotives and equipment 362 Guided missiles, space vehicles, and parts 370 Cycles and miscellaneous transportation equipment 371 Scientific and controlling instruments 372 Optical and health services supplies 380 Photographic equipment and supplies 381 Watches, clocks, and clockwork operated devices 382 Not specified professional equipment 390 Toys, amusement, and sporting goods 391 Miscellaneous manufacturing industries 392 Not specified manufacturing industries 400 Railroads 401 Bus service and urban transit 402 Taxicab service 410 Trucking service 411 Warehousing and storage 412 U.S. Postal Service 420 Water transportation 421 Air transportation 422 Pipe lines, except natural gas 432 Services incidental to transportation 440 Radio and television broadcasting 441 Telephone (wire and radio) 442 Telegraph and miscellaneous communication service 460 Electric light and power 461 Gas and steam supply systems 462 Electric and gas, and other combinations 470 Water supply and irrigation 471 Sanitary services 472 Not specified utilities 500 Motor vehicles and equipment 501 Furniture and home furnishings 502 Lumber and construction materials 510 Sporting goods, toys, and hobby goods 511 Metals and minerals, except petroleum 512 Electrical goods 521 Hardware, plumbing and heating supplies 522 Not specified electrical and hardware products 530 Machinery, equipment, and supplies 531 Scrap and waste materials 532 Miscellaneous wholesale, durable goods 540 Paper and paper products 541 Drugs, chemicals, and allied products 542 Apparel, fabrics, and notions 550 Groceries and related products 551 Farm products-raw materials 552 Petroleum products 560 Alcoholic beverages 561 Farm supplies 562 Miscellaneous wholesale, nondurable goods 571 Not specified wholesale trade 580 Lumber and building material retailing 581 Hardware stores 582 Retail nurseries and garden stores 590 Mobile home dealers 591 Department stores 592 Variety stores 600 Miscellaneous general merchandise stores 601 Grocery stores 602 Dairy products stores 610 Retail bakeries 611 Food stores, n.e.c. 612 Motor vehicle dealers 620 Auto and home supply stores 621 Gasoline service stations 622 Miscellaneous vehicle dealers 630 Apparel and accessory stores, except shoe 631 Shoe stores 632 Furniture and home furnishings stores 640 Household appliances, TV, and radio stores 641 Eating and drinking places 642 Drug stores 650 Liquor stores 651 Sporting goods, bicycles, and hobby stores 652 Book and stationery stores 660 Jewelry stores 661 Sewing, needlework, and piece goods stores 662 Mail order houses 670 Vending machine operators 671 Direct selling establishments 672 Fuel and ice dealers 681 Retail florists 682 Miscellaneous retail stores 691 Not specified retail trade 700 Banking 701 Savings and loan associations 702 Credit agencies, n.e.c. 710 Security, commodity brokerage, and investment companies 711 Insurance 712 Real estate, including real estate-insurance-law offices 721 Advertising 722 Services to dwellings and other buildings 730 Commercial research, development, and testing labs 731 Personnel supply services 732 Business management and consulting services 740 Computer and data processing services 741 Detective and protective services 742 Business services, n.e.c. 750 Automotive services, except repair 751 Automotive repair shops 752 Electrical repair shops 760 Miscellaneous repair services 761 Private households 762 Hotels and motels 770 Lodging places, except hotels and motels 771 Laundry, cleaning, and garment services 772 Beauty shops 780 Barber shops 781 Funeral service and crematories 782 Shoe repair shops 790 Dressmaking shops 791 Miscellaneous personal services 800 Theaters and motion pictures 801 Bowling alleys, billiard and pool parlors 802 Miscellaneous entertainment and recreation services 812 Offices of physicians 820 Offices of dentists 821 Offices of chiropractors 822 Offices of optometrists 830 Offices of health practitioners, n.e.c. 831 Hospitals 832 Nursing and personal care facilities 840 Health services, n.e.c. 841 Legal services 842 Elementary and secondary schools 850 Colleges and universities 851 Business, trade, and vocational schools 852 Libraries 860 Educational services, n.e.c. 861 Job training and vocational rehabilitation services 862 Child day care services 870 Residential care facilities, without nursing 871 Social services, n.e.c. 872 Museums, art galleries and zoos 880 Religious organizations 881 Membership organizations 882 Engineering, architectural, and surveying services 890 Accounting, auditing, and bookkeeping services 891 Noncommercial educational and scientific research 892 Miscellaneous professional and related services 900 Executive and legislative offices 901 General government, n.e.c. 910 Justice, public order, and safety 921 Public finance, taxation, and monetary policy 922 Administration of human resources programs 930 Administration of environmental quality and household programs 931 Administration of economic programs 932 National security and international affairs 998 DK 999 NA	15
INDUS07	Label: Industry code based on NAICS 2007 Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0; 999999 Value Label 0 IAP 999999 No answer	16
OCCONET	Label: Occupation code based on O*Net Format: F8.2 Measure: Scale Display Width: 10 Missing Values: 0; 999999.99 Value Label .00 IAP 999999.99 No answer	17
FOUND	Label: Case was retrievable in 2012 Format: F8.0 Measure: Nominal Display Width: 10 Missing Values: -1 Value Label -1 IAP 0 Not found 1 Found	18
OCC10	Label: R's census occupation code (2010) Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 10 Chief executives 20 General and operations managers 30 Legislators 40 Advertising and promotions managers 50 Marketing and sales managers 60 Public relations and fundraising managers 100 Administrative services managers 110 Computer and information systems managers 120 Financial managers 135 Compensation and benefits managers 136 Human resources managers 137 Training and development managers 140 Industrial production managers 150 Purchasing managers 160 Transportation, storage, and distribution managers 205 Farmers, ranchers, and other agricultural managers 220 Construction managers 230 Education administrators 300 Architectural and engineering managers 310 Food service managers 325 Funeral service managers 330 Gaming managers 340 Lodging managers 350 Medical and health services managers 360 Natural sciences managers 400 Postmasters and mail superintendents 410 Property, real estate, and community association managers 420 Social and community service managers 425 Emergency management directors 430 Managers, all other 500 Agents and business managers of artists, performers, 510 Buyers and purchasing agents, farm products 520 Wholesale and retail buyers, except farm products 530 Purchasing agents, except wholesale, retail, and farm products 540 Claims adjusters, appraisers, examiners, and investigators 565 Compliance officers 600 Cost estimators 630 Human resources workers 640 Compensation, benefits, and job analysis specialists 650 Training and development specialists 700 Logisticians 710 Management analysts 725 Meeting, convention, and event planners 726 Fundraisers 735 Market research analysts and marketing specialists 740 Business operations specialists, all other 800 Accountants and auditors 810 Appraisers and assessors of real estate 820 Budget analysts 830 Credit analysts 840 Financial analysts 850 Personal financial advisors 860 Insurance underwriters 900 Financial examiners 910 Credit counselors and loan officers 930 Tax examiners and collectors, and revenue agents 940 Tax preparers 950 Financial specialists, all other 1005 Computer and information research scientists 1006 Computer systems analysts 1007 Information security analysts 1010 Computer programmers 1020 Software developers, applications and systems software 1030 Web developers 1050 Computer support specialists 1060 Database administrators 1105 Network and computer systems administrators 1106 Computer network architects 1107 Computer occupations, all other 1200 Actuaries 1210 Mathematicians 1220 Operations research analysts 1230 Statisticians 1240 Miscellaneous mathematical science occupations 1300 Architects, except naval 1310 Surveyors, cartographers, and photogrammetrists 1320 Aerospace engineers 1330 Agricultural engineers 1340 Biomedical engineers 1350 Chemical engineers 1360 Civil engineers 1400 Computer hardware engineers 1410 Electrical and electronics engineers 1420 Environmental engineers 1430 Industrial engineers, including health and safety 1440 Marine engineers and naval architects 1450 Materials engineers 1460 Mechanical engineers 1500 Mining and geological engineers, including mining safety engineers 1510 Nuclear engineers 1520 Petroleum engineers 1530 Engineers, all other 1540 Drafters 1550 Engineering technicians, except drafters 1560 Surveying and mapping technicians 1600 Agricultural and food scientists 1610 Biological scientists 1640 Conservation scientists and foresters 1650 Medical scientists 1660 Life scientists, all other 1700 Astronomers and physicists 1710 Atmospheric and space scientists 1720 Chemists and materials scientists 1740 Environmental scientists and geoscientists 1760 Physical scientists, all other 1800 Economists 1815 Survey researchers 1820 Psychologists 1830 Sociologists 1840 Urban and regional planners 1860 Miscellaneous social scientists and related workers 1900 Agricultural and food science technicians 1910 Biological technicians 1920 Chemical technicians 1930 Geological and petroleum technicians 1940 Nuclear technicians 1950 Social science research assistants 1965 Miscellaneous life, physical, and social science technicians 2000 Counselors 2010 Social workers 2015 Probation officers and correctional treatment specialists 2016 Social and human service assistants 2025 Miscellaneous community and social service specialists, 2040 Clergy 2050 Directors, religious activities and education 2060 Religious workers, all other 2100 Lawyers 2105 Judicial law clerks 2110 Judges, magistrates, and other judicial workers 2145 Paralegals and legal assistants 2160 Miscellaneous legal support workers 2200 Postsecondary teachers 2300 Preschool and kindergarten teachers 2310 Elementary and middle school teachers 2320 Secondary school teachers 2330 Special education teachers 2340 Other teachers and instructors 2400 Archivists, curators, and museum technicians 2430 Librarians 2440 Library technicians 2540 Teacher assistants 2550 Other education, training, and library workers 2600 Artists and related workers 2630 Designers 2700 Actors 2710 Producers and directors 2720 Athletes, coaches, umpires, and related workers 2740 Dancers and choreographers 2750 Musicians, singers, and related workers 2760 Entertainers and performers, sports and related workers, all other 2800 Announcers 2810 News analysts, reporters and correspondents 2825 Public relations specialists 2830 Editors 2840 Technical writers 2850 Writers and authors 2860 Miscellaneous media and communication workers 2900 Broadcast and sound engineering technicians and radio 2910 Photographers 2920 Television, video, and motion picture camera operators and 2960 Media and communication equipment workers, all other 3000 Chiropractors 3010 Dentists 3030 Dietitians and nutritionists 3040 Optometrists 3050 Pharmacists 3060 Physicians and surgeons 3110 Physician assistants 3120 Podiatrists 3140 Audiologists 3150 Occupational therapists 3160 Physical therapists 3200 Radiation therapists 3210 Recreational therapists 3220 Respiratory therapists 3230 Speech-language pathologists 3235 Exercise physiologists 3245 Therapists, all other 3250 Veterinarians 3255 Registered nurses 3256 Nurse anesthetists 3257 Nurse midwives 3258 Nurse practitioners 3260 Health diagnosing and treating practitioners, all other 3300 Clinical laboratory technologists and technicians 3310 Dental hygienists 3320 Diagnostic related technologists and technicians 3400 Emergency medical technicians and paramedics 3420 Health practitioner support technologists and technicians 3500 Licensed practical and licensed vocational nurses 3510 Medical records and health information technicians 3520 Opticians, dispensing 3535 Miscellaneous health technologists and technicians 3540 Other healthcare practitioners and technical occupations 3600 Nursing, psychiatric, and home health aides 3610 Occupational therapy assistants and aides 3620 Physical therapist assistants and aides 3630 Massage therapists 3640 Dental assistants 3645 Medical assistants 3646 Medical transcriptionists 3647 Pharmacy aides 3648 Veterinary assistants and laboratory animal caretakers 3649 Phlebotomists 3655 Miscellaneous healthcare support occupations, including medical equipment preparers 3700 First-line supervisors of correctional officers 3710 First-line supervisors of police and detectives 3720 First-line supervisors of fire fighting and prevention workers 3730 First-line supervisors of protective service workers, all other 3740 Firefighters 3750 Fire inspectors 3800 Bailiffs, correctional officers, and jailers 3820 Detectives and criminal investigators 3830 Fish and game wardens 3840 Parking enforcement workers 3850 Police and sheriff's patrol officers 3860 Transit and railroad police 3900 Animal control workers 3910 Private detectives and investigators 3930 Security guards and gaming surveillance officers 3940 Crossing guards 3945 Transportation security screeners 3955 Lifeguards and other recreational, and all other protective service workers 4000 Chefs and head cooks 4010 First-line supervisors of food preparation and serving workers 4020 Cooks 4030 Food preparation workers 4040 Bartenders 4050 Combined food preparation and serving workers, including fast food 4060 Counter attendants, cafeteria, food concession, and coffee shop 4110 Waiters and waitresses 4120 Food servers, nonrestaurant 4130 Dining room and cafeteria attendants and bartender helpers 4140 Dishwashers 4150 Hosts and hostesses, restaurant, lounge, and coffee shop 4160 Food preparation and serving related workers, all other 4200 First-line supervisors of housekeeping and janitorial workers 4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers 4220 Janitors and building cleaners 4230 Maids and housekeeping cleaners 4240 Pest control workers 4250 Grounds maintenance workers 4300 First-line supervisors of gaming workers 4320 First-line supervisors of personal service workers 4340 Animal trainers 4350 Nonfarm animal caretakers 4400 Gaming services workers 4410 Motion picture projectionists 4420 Ushers, lobby attendants, and ticket takers 4430 Miscellaneous entertainment attendants and related workers 4460 Embalmers and funeral attendants 4465 Morticians, undertakers, and funeral directors 4500 Barbers 4510 Hairdressers, hairstylists, and cosmetologists 4520 Miscellaneous personal appearance workers 4530 Baggage porters, bellhops, and concierges 4540 Tour and travel guides 4600 Childcare workers 4610 Personal care aides 4620 Recreation and fitness workers 4640 Residential advisors 4650 Personal care and service workers, all other 4700 First-line supervisors of retail sales workers 4710 First-line supervisors of non-retail sales workers 4720 Cashiers 4740 Counter and rental clerks 4750 Parts salespersons 4760 Retail salespersons 4800 Advertising sales agents 4810 Insurance sales agents 4820 Securities, commodities, and financial services sales agents 4830 Travel agents 4840 Sales representatives, services, all other 4850 Sales representatives, wholesale and manufacturing 4900 Models, demonstrators, and product promoters 4920 Real estate brokers and sales agents 4930 Sales engineers 4940 Telemarketers 4950 Door-to-door sales workers, news and street vendors, and related workers 4965 Sales and related workers, all other 5000 First-line supervisors of office and administrative support workers 5010 Switchboard operators, including answering service 5020 Telephone operators 5030 Communications equipment operators, all other 5100 Bill and account collectors 5110 Billing and posting clerks 5120 Bookkeeping, accounting, and auditing clerks 5130 Gaming cage workers 5140 Payroll and timekeeping clerks 5150 Procurement clerks 5160 Tellers 5165 Financial clerks, all other 5200 Brokerage clerks 5210 Correspondence clerks 5220 Court, municipal, and license clerks 5230 Credit authorizers, checkers, and clerks 5240 Customer service representatives 5250 Eligibility interviewers, government programs 5260 File Clerks 5300 Hotel, motel, and resort desk clerks 5310 Interviewers, except eligibility and loan 5320 Library assistants, clerical 5330 Loan interviewers and clerks 5340 New accounts clerks 5350 Order clerks 5360 Human resources assistants, except payroll and timekeeping 5400 Receptionists and information clerks 5410 Reservation and transportation ticket agents and travel clerks 5420 Information and record clerks, all other 5500 Cargo and freight agents 5510 Couriers and messengers 5520 Dispatchers 5530 Meter readers, utilities 5540 Postal service clerks 5550 Postal service mail carriers 5560 Postal service mail sorters, processors, and processing machine operators 5600 Production, planning, and expediting clerks 5610 Shipping, receiving, and traffic clerks 5620 Stock clerks and order fillers 5630 Weighers, measurers, checkers, and samplers, recordkeeping 5700 Secretaries and administrative assistants 5800 Computer operators 5810 Data entry keyers 5820 Word processors and typists 5830 Desktop publishers 5840 Insurance claims and policy processing clerks 5850 Mail clerks and mail machine operators, except postal service 5860 Office clerks, general 5900 Office machine operators, except computer 5910 Proofreaders and copy markers 5920 Statistical assistants 5940 Office and administrative support workers, all other 6005 First-line supervisors of farming, fishing, and forestry workers 6010 Agricultural inspectors 6020 Animal breeders 6040 Graders and sorters, agricultural products 6050 Miscellaneous agricultural workers 6100 Fishers and related fishing workers 6110 Hunters and trappers 6120 Forest and conservation workers 6130 Logging workers 6200 First-line supervisors of construction trades and extraction workers 6210 Boilermakers 6220 Brickmasons, blockmasons, and stonemasons 6230 Carpenters 6240 Carpet, floor, and tile installers and finishers 6250 Cement masons, concrete finishers, and terrazzo workers 6260 Construction laborers 6300 Paving, surfacing, and tamping equipment operators 6310 Pile-driver operators 6320 Operating engineers and other construction equipment operators 6330 Drywall installers, ceiling tile installers, and tapers 6355 Electricians 6360 Glaziers 6400 Insulation workers 6420 Painters, construction and maintenance 6430 Paperhangers 6440 Pipelayers, plumbers, pipefitters, and steamfitters 6460 Plasterers and stucco masons 6500 Reinforcing iron and rebar workers 6515 Roofers 6520 Sheet metal workers 6530 Structural iron and steel workers 6540 Solar photovoltaic installers 6600 Helpers, construction trades 6660 Construction and building inspectors 6700 Elevator installers and repairers 6710 Fence erectors 6720 Hazardous materials removal workers 6730 Highway maintenance workers 6740 Rail-track laying and maintenance equipment operators 6750 Septic tank servicers and sewer pipe cleaners 6765 Miscellaneous construction and related workers 6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining 6820 Earth drillers, except oil and gas 6830 Explosives workers, ordnance handling experts, and blasters 6840 Mining machine operators 6910 Roof bolters, mining 6920 Roustabouts, oil and gas 6930 Helpers—extraction workers 6940 Other extraction workers 7000 First-line supervisors of mechanics, installers, and repairers 7010 Computer, automated teller, and office machine repairers 7020 Radio and telecommunications equipment installers and repairers 7030 Avionics technicians 7040 Electric motor, power tool, and related repairers 7050 Electrical and electronics installers and repairers, transportation 7100 Electrical and electronics repairers, industrial and utility 7110 Electronic equipment installers and repairers, motor vehicles 7120 Electronic home entertainment equipment installers and repairers 7130 Security and fire alarm systems installers 7140 Aircraft mechanics and service technicians 7150 Automotive body and related repairers 7160 Automotive glass installers and repairers 7200 Automotive service technicians and mechanics 7210 Bus and truck mechanics and diesel engine specialists 7220 Heavy vehicle and mobile equipment service technicians and mechanics 7240 Small engine mechanics 7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers 7300 Control and valve installers and repairers 7315 Heating, air conditioning, and refrigeration mechanics and installers 7320 Home appliance repairers 7330 Industrial and refractory machinery mechanics 7340 Maintenance and repair workers, general 7350 Maintenance workers, machinery 7360 Millwrights 7410 Electrical power-line installers and repairers 7420 Telecommunications line installers and repairers 7430 Precision instrument and equipment repairers 7440 Wind turbine service technicians 7510 Coin, vending, and amusement machine servicers and repairers 7520 Commercial divers 7540 Locksmiths and safe repairers 7550 Manufactured building and mobile home installers 7560 Riggers 7600 Signal and track switch repairers 7610 Helpers—installation, maintenance, and repair workers 7630 Other installation, maintenance, and repair workers 7700 First-line supervisors of production and operating workers 7710 Aircraft structure, surfaces, rigging, and systems assemblers 7720 Electrical, electronics, and electromechanical assemblers 7730 Engine and other machine assemblers 7740 Structural metal fabricators and fitters 7750 Miscellaneous assemblers and fabricators 7800 Bakers 7810 Butchers and other meat, poultry, and fish processing workers 7830 Food and tobacco roasting, baking, and drying machine operators and tenders 7840 Food batchmakers 7850 Food cooking machine operators and tenders 7855 Food processing workers, all other 7900 Computer control programmers and operators 7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic 7930 Forging machine setters, operators, and tenders, metal and plastic 7940 Rolling machine setters, operators, and tenders, metal and plastic 7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic 8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic 8020 Milling and planing machine setters, operators, and tenders, metal and plastic 8030 Machinists 8040 Metal furnace operators, tenders, pourers, and casters 8060 Model makers and patternmakers, metal and plastic 8100 Molders and molding machine setters, operators, and tenders, metal and plastic 8120 Multiple machine tool setters, operators, and tenders, metal and plastic 8130 Tool and die makers 8140 Welding, soldering, and brazing workers 8150 Heat treating equipment setters, operators, and tenders, metal and plastic 8160 Layout workers, metal and plastic 8200 Plating and coating machine setters, operators, and tenders, metal and plastic 8210 Tool grinders, filers, and sharpeners 8220 Metal workers and plastic workers, all other 8250 Prepress technicians and workers 8255 Printing press operators 8256 Print binding and finishing workers 8300 Laundry and dry-cleaning workers 8310 Pressers, textile, garment, and related materials 8320 Sewing machine operators 8330 Shoe and leather workers and repairers 8340 Shoe machine operators and tenders 8350 Tailors, dressmakers, and sewers 8360 Textile bleaching and dyeing machine operators and tenders 8400 Textile cutting machine setters, operators, and tenders 8410 Textile knitting and weaving machine setters, operators, and tenders 8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders 8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers 8440 Fabric and apparel patternmakers 8450 Upholsterers 8460 Textile, apparel, and furnishings workers, all other 8500 Cabinetmakers and bench carpenters 8510 Furniture finishers 8520 Model makers and patternmakers, wood 8530 Sawing machine setters, operators, and tenders, wood 8540 Woodworking machine setters, operators, and tenders, except sawing 8550 Woodworkers, all other 8600 Power plant operators, distributors, and dispatchers 8610 Stationary engineers and boiler operators 8620 Water and wastewater treatment plant and system operators 8630 Miscellaneous plant and system operators 8640 Chemical processing machine setters, operators, and tenders 8650 Crushing, grinding, polishing, mixing, and blending workers 8710 Cutting workers 8720 Extruding, forming, pressing, and compacting machine setters, 8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders 8740 Inspectors, testers, sorters, samplers, and weighers 8750 Jewelers and precious stone and metal workers 8760 Medical, dental, and ophthalmic laboratory technicians 8800 Packaging and filling machine operators and tenders 8810 Painting workers 8830 Photographic process workers and processing machine operators 8840 Semiconductor processors 8850 Adhesive bonding machine operators and tenders 8860 Cleaning, washing, and metal pickling equipment operators and tenders 8900 Cooling and freezing equipment operators and tenders 8910 Etchers and engravers 8920 Molders, shapers, and casters, except metal and plastic 8930 Paper goods machine setters, operators, and tenders 8940 Tire builders 8950 Helpers—production workers 8965 Production workers, all other 9000 Supervisors of transportation and material moving workers 9030 Aircraft pilots and flight engineers 9040 Air traffic controllers and airfield operations specialists 9050 Flight attendants 9110 Ambulance drivers and attendants, except emergency medical technicians 9120 Bus drivers 9130 Driver/sales workers and truck drivers 9140 Taxi drivers and chauffeurs 9150 Motor vehicle operators, all other 9200 Locomotive engineers and operators 9230 Railroad brake, signal, and switch operators 9240 Railroad conductors and yardmasters 9260 Subway, streetcar, and other rail transportation workers 9300 Sailors and marine oilers 9310 Ship and boat captains and operators 9330 Ship engineers 9340 Bridge and lock tenders 9350 Parking lot attendants 9360 Automotive and watercraft service attendants 9410 Transportation inspectors 9415 Transportation attendants, except flight attendants 9420 Other transportation workers 9500 Conveyor operators and tenders 9510 Crane and tower operators 9520 Dredge, excavating, and loading machine operators 9560 Hoist and winch operators 9600 Industrial truck and tractor operators 9610 Cleaners of vehicles and equipment 9620 Laborers and freight, stock, and material movers, hand 9630 Machine feeders and offbearers 9640 Packers and packagers, hand 9650 Pumping station operators 9720 Refuse and recyclable material collectors 9730 Mine shuttle car operators 9740 Tank car, truck, and ship loaders 9750 Material moving workers, all other 9800 Military officer special and tactical operations leaders 9810 First-line enlisted military supervisors 9820 Military enlisted tactical operations and air/weapons specialists and crew members 9830 Military, rank not specified 9997 Uncodeable 9998 DK 9999 NA	19
OCCINDV	Label: R's occ/ind verbatim retrieved Format: F8.0 Measure: Scale Display Width: 10 Missing Values: -1 Value Label -1 IAP 0 No verbatims for R 1 Verbatims for R	20
OCCSTATUS	Label: OCC10 coding status Format: F8.0 Measure: Nominal Display Width: 11 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned	21
OCCTAG	Label: OCC10 coding tag Format: F8.0 Measure: Scale Display Width: 10 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	22
PRESTG10	Label: R's occupational prestige score (2010) Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0 Value Label 0 IAP,DK,NA,uncodeable	23
PRESTG105PLUS	Label: R's occupational prestige score using threshold method (2010) Format: F8.0 Measure: Scale Display Width: 15 Missing Values: 0 Value Label 0 IAP,DK,NA,uncodeable	24
INDUS10	Label: R's industry code (NAICS 2007) Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 170 Crop production 180 Animal production 190 Forestry, except logging 270 Logging 280 Fishing, hunting, and trapping 290 Support activities for agriculture and forestry 370 Oil and gas extraction 380 Coal mining 390 Metal ore mining 470 Nonmetallic mineral mining and quarrying 480 Not specified type of mining 490 Support activities for mining 570 Electric power generation, transmission, and distribution 580 Natural gas distribution 590 Electric and gas, and other combinations 670 Water, steam, air-conditioning, and irrigation systems 680 Sewage treatment facilities 690 Not specified utilities 770 Construction 1070 Animal food, grain, and oilseed milling 1080 Sugar and confectionery products 1090 Fruit and vegetable preserving and specialty food manufacturing 1170 Dairy product manufacturing 1180 Animal slaughtering and processing 1190 Retail bakeries 1270 Bakeries, except retail 1280 Seafood and other miscellaneous foods, n.e.c. 1290 Not specified food industries 1370 Beverage manufacturing 1390 Tobacco manufacturing 1470 Fiber, yarn, and thread mills 1480 Fabric mills, except knitting mills 1490 Textile and fabric finishing and coating mills 1570 Carpet and rug mills 1590 Textile product mills, except carpet and rug 1670 Knitting fabric mills, and apparel knitting mills 1680 Cut and sew apparel manufacturing 1690 Apparel accessories and other apparel manufacturing 1770 Footwear manufacturing 1790 Leather tanning and finishing and other allied products manufacturing 1870 Pulp, paper, and paperboard mills 1880 Paperboard containers and boxes 1890 Miscellaneous paper and pulp products 1990 Printing and related support activities 2070 Petroleum refining 2090 Miscellaneous petroleum and coal products 2170 Resin, synthetic rubber and fibers, and filaments manufacturing 2180 Agricultural chemical manufacturing 2190 Pharmaceutical and medicine manufacturing 2270 Paint, coating, and adhesive manufacturing 2280 Soap, cleaning compound, and cosmetics manufacturing 2290 Industrial and miscellaneous chemicals 2370 Plastics product manufacturing 2380 Tire manufacturing 2390 Rubber product, except tire, manufacturing 2470 Pottery, ceramics, and plumbing fixture manufacturing 2480 Structural clay product manufacturing 2490 Glass and glass product manufacturing 2570 Cement, concrete, lime, and gypsum product manufacturing 2590 Miscellaneous nonmetallic mineral product manufacturing 2670 Iron and steel mills and steel product manufacturing 2680 Aluminum production and processing 2690 Nonferrous metal (except aluminum) production and processing 2770 Foundries 2780 Metal forgings and stampings 2790 Cutlery and hand tool manufacturing 2870 Structural metals, and boiler, tank, and shipping container manufacturing 2880 Machine shops; turned product; screw, nut, and bolt manufacturing 2890 Coating, engraving, heat treating and allied activities 2970 Ordnance 2980 Miscellaneous fabricated metal products manufacturing 2990 Not specified metal industries 3070 Agricultural implement manufacturing 3080 Construction, and mining and oil and gas field machinery manufacturing 3090 Commercial and service industry machinery manufacturing 3170 Metalworking machinery manufacturing 3180 Engines, turbines, and power transmission equipment manufacturing 3190 Machinery manufacturing, n.e.c. 3290 Not specified machinery manufacturing 3360 Computer and peripheral equipment manufacturing 3370 Communications, and audio and video equipment manufacturing 3380 Navigational, measuring, electromedical, and control instruments manufacturing 3390 Electronic component and product manufacturing, n.e.c. 3470 Household appliance manufacturing 3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c. 3570 Motor vehicles and motor vehicle equipment manufacturing 3580 Aircraft and parts manufacturing 3590 Aerospace product and parts manufacturing 3670 Railroad rolling stock manufacturing 3680 Ship and boat building 3690 Other transportation equipment manufacturing 3770 Sawmills and wood preservation 3780 Veneer, plywood, and engineered wood products 3790 Prefabricated wood buildings and mobile homes 3870 Miscellaneous wood products 3890 Furniture and related product manufacturing 3960 Medical equipment and supplies manufacturing 3970 Sporting and athletic goods, and doll, toy and game manufacturing 3980 Miscellaneous manufacturing, n.e.c. 3990 Not specified manufacturing industries 4070 Motor vehicles, parts and supplies, merchant wholesalers 4080 Furniture and home furnishing, merchant wholesalers 4090 Lumber and other construction materials, merchant wholesalers 4170 Professional and commercial equipment and supplies, merchant wholesalers 4180 Metals and minerals, except petroleum, merchant wholesalers 4190 Electrical and electronic goods, merchant wholesalers 4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers 4270 Machinery, equipment, and supplies, merchant wholesalers 4280 Recyclable material, merchant wholesalers 4290 Miscellaneous durable goods, merchant wholesalers 4370 Paper and paper products, merchant wholesalers 4380 Drugs, sundries, and chemical and allied products, merchant wholesalers 4390 Apparel, fabrics, and notions, merchant wholesalers 4470 Groceries and related products, merchant wholesalers 4480 Farm product raw materials, merchant wholesalers 4490 Petroleum and petroleum products, merchant wholesalers 4560 Alcoholic beverages, merchant wholesalers 4570 Farm supplies, merchant wholesalers 4580 Miscellaneous nondurable goods, merchant wholesalers 4585 Wholesale electronic markets, agents and brokers 4590 Not specified wholesale trade 4670 Automobile dealers 4680 Other motor vehicle dealers 4690 Auto parts, accessories, and tire stores 4770 Furniture and home furnishings stores 4780 Household appliance stores 4790 Radio, TV, and computer stores 4870 Building material and supplies dealers 4880 Hardware stores 4890 Lawn and garden equipment and supplies stores 4970 Grocery stores 4980 Specialty food stores 4990 Beer, wine, and liquor stores 5070 Pharmacies and drug stores 5080 Health and personal care, except drug, stores 5090 Gasoline stations 5170 Clothing stores 5180 Shoe stores 5190 Jewelry, luggage, and leather goods stores 5270 Sporting goods, camera, and hobby and toy stores 5280 Sewing, needlework, and piece goods stores 5290 Music stores 5370 Book stores and news dealers 5380 Department stores and discount stores 5390 Miscellaneous general merchandise stores 5470 Retail florists 5480 Office supplies and stationery stores 5490 Used merchandise stores 5570 Gift, novelty, and souvenir shops 5580 Miscellaneous retail stores 5590 Electronic shopping 5591 Electronic auctions 5592 Mail order houses 5670 Vending machine operators 5680 Fuel dealers 5690 Other direct selling establishments 5790 Not specified retail trade 6070 Air transportation 6080 Rail transportation 6090 Water transportation 6170 Truck transportation 6180 Bus service and urban transit 6190 Taxi and limousine service 6270 Pipeline transportation 6280 Scenic and sightseeing transportation 6290 Services incidental to transportation 6370 Postal Service 6380 Couriers and messengers 6390 Warehousing and storage 6470 Newspaper publishers 6480 Periodical, book, and directory publishers 6490 Software publishers 6570 Motion pictures and video industries 6590 Sound recording industries 6670 Radio and television broadcasting and cable subscription programming 6672 Internet publishing and broadcasting and web search portals 6680 Wired telecommunications carriers 6690 Other telecommunications services 6695 Data processing, hosting, and related services 6770 Libraries and archives 6780 Other information services 6870 Banking and related activities 6880 Savings institutions, including credit unions 6890 Non-depository credit and related activities 6970 Securities, commodities, funds, trusts, and other financial investments 6990 Insurance carriers and related activities 7070 Real estate 7080 Automotive equipment rental and leasing 7170 Video tape and disk rental 7180 Other consumer goods rental 7190 Commercial, industrial, and other intangible assets rental and leasing 7270 Legal services 7280 Accounting, tax preparation, bookkeeping, and payroll services 7290 Architectural, engineering, and related services 7370 Specialized design services 7380 Computer systems design and related services 7390 Management, scientific, and technical consulting services 7460 Scientific research and development services 7470 Advertising and related services 7480 Veterinary services 7490 Other professional, scientific, and technical services 7570 Management of companies and enterprises 7580 Employment services 7590 Business support services 7670 Travel arrangements and reservation services 7680 Investigation and security services 7690 Services to buildings and dwellings 7770 Landscaping services 7780 Other administrative and other support services 7790 Waste management and remediation services 7860 Elementary and secondary schools 7870 Colleges and universities, including junior colleges 7880 Business, technical, and trade schools and training 7890 Other schools and instruction, and educational support services 7970 Offices of physicians 7980 Offices of dentists 7990 Offices of chiropractors 8070 Offices of optometrists 8080 Offices of other health practitioners 8090 Outpatient care centers 8170 Home health care services 8180 Other health care services 8190 Hospitals 8270 Nursing care facilities 8290 Residential care facilities, without nursing 8370 Individual and family services 8380 Community food and housing, and emergency services 8390 Vocational rehabilitation services 8470 Child day care services 8560 Independent artists, performing arts, spectator sports, and related industries 8570 Museums, art galleries, historical sites, and similar institutions 8580 Bowling centers 8590 Other amusement, gambling, and recreation industries 8660 Traveler accommodation 8670 Recreational vehicle parks and camps, and rooming and boarding houses 8680 Restaurants and other food services 8690 Drinking places, alcoholic beverages 8770 Automotive repair and maintenance 8780 Car washes 8790 Electronic and precision equipment repair and maintenance 8870 Commercial and industrial machinery and equipment repair and maintenance 8880 Personal and household goods repair and maintenance 8890 Footwear and leather goods repair 8970 Barber shops 8980 Beauty salons 8990 Nail salons and other personal care services 9070 Drycleaning and laundry services 9080 Funeral homes, and cemeteries and crematories 9090 Other personal services 9160 Religious organizations 9170 Civic, social, advocacy organizations, and grantmaking and giving services 9180 Labor unions 9190 Business, professional, political, and similar organizations 9290 Private households 9370 Executive offices and legislative bodies 9380 Public finance activities 9390 Other general government and support 9470 Justice, public order, and safety activities 9480 Administration of human resource programs 9490 Administration of environmental quality and housing programs 9570 Administration of economic programs and space research 9590 National security and international affairs 9670 U.S. Army 9680 U.S. Air Force 9690 U.S. Navy 9770 U.S. Marine Corps 9780 U.S. Coast Guard 9790 U.S. Armed Forces/n.s. 9870 Active duty military personnel, all other 9997 Uncodeable 9999 No answer	25
INDSTATUS	Label: INDUS10 coding status Format: F8.0 Measure: Nominal Display Width: 11 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned	26
INDTAG	Label: INDUS10 coding tag Format: F8.0 Measure: Nominal Display Width: 10 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	27
MARITAL	Label: Marital status Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 9 NA	28
MARTYPE	Label: Marital type Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0 Value Label 0 IAP 1 Marriage between a man and a woman 2 Marriage between people of the same gender	29
AGEWED	Label: Age when first married Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	30
DIVORCE	Label: Ever been divorced or separated Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	31
WIDOWED	Label: Ever been widowed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	32
SPWRKSTA	Label: Spouse labor force status Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 WORKING FULLTIME 2 WORKING PARTTIME 3 TEMP NOT WORKING 4 UNEMPL, LAID OFF 5 RETIRED 6 SCHOOL 7 KEEPING HOUSE 8 OTHER 9 NA	33
SPHRS1	Label: Number of hrs spouse worked last week Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 89 89+ hrs 98 DK 99 NA	34
SPHRS2	Label: No. of hrs spouse usually works a week Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 89 89+ hrs 98 DK 99 NA	35
SPEVWORK	Label: Spouse ever work as long as a year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	36
COWRKSTA	Label: Partner's labor force status Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 WORKING FULLTIME 2 WORKING PARTTIME 3 TEMP NOT WORKING 4 UNEMPL, LAID OFF 5 RETIRED 6 SCHOOL 7 KEEPING HOUSE 8 OTHER 9 NA	37
COWRKSLF	Label: Partner self-emp. or works for somebody else Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 8 DK 9 NA	38
COEVWORK	Label: Partner ever work as long as a year Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	39
COHRS1	Label: Number of hours partner worked last week Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 89 89+ hrs 98 DK 99 NA	40
COHRS2	Label: No. of hours partner usually works a week Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 89 89+ hrs 98 DK 99 NA	41
SPOCC	Label: Spouse census occupation code (1970) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	42
SPPRES	Label: Spouse's occupational prestige score (1970) Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	43
SPWRKSLF	Label: Spouse self-emp. or works for somebody Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 8 DK 9 NA	44
SPIND	Label: Spouse's industry code (1970) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	45
SPOCC80	Label: Spouse census occupation code (1980) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 3 Legislators 4 Chief Executives and General Admin., Public Admin 5 Administrators and Officials, Public Administration 6 Administrators, Protective Service 7 Financial Managers 8 Personnel and Labor Relations Managers 9 Purchasing Managers 13 Managers, Marketing, Advertising, and Public Relations 14 Administrators, Education and Related Fields 15 Managers, Medicine and Health 16 Managers, Properties and Real Estate 17 Postmasters and Mail Superintendents 18 Funeral Directors 19 Managers and Administrators, n.e.c. 23 Accountants and Auditors 24 Underwriters 25 Other Financial Officers 26 Management Analysts 27 Personnel, Training, and Labor Relations Specialists 28 Purchasing Agents and Buyers, Farm Products 29 Buyers, Wholesale and Retail Trade Except Farm Products 33 Purchasing Agents and Buyers 34 Business and Promotion Agents 35 Construction Inspectors 36 Inspectors/Compliance Officers, Except Construction 37 Management Related Occupations, n.e.c. 43 Architects 44 Aerospace Engineers 45 Metallurgical and Materials Engineers 46 Mining Engineers 47 Petroleum Engineers 48 Chemical Engineers 49 Nuclear Engineers 53 Civil Engineers 54 Agricultural Engineers 55 Electrical and Electronic Engineers 56 Industrial Engineers 57 Mechanical Engineers 58 Marine and Naval Architects 59 Engineers, n.e.c. 63 Surveyors and Mapping Scientists 64 Computer Systems Analysts and Scientists 65 Operations and Systems Researchers and Analysts 66 Actuaries 67 Statisticians 68 Mathematical Scientists, n.e.c. 69 Physicists and Astronomers 73 Chemists, Except Biochemists 74 Atmospheric and Space Scientists 75 Geologists and Geodesists 76 Physical Scientists, n.e.c. 77 Agricultural and Food Scientists 78 Biological and Life Scientists 79 Forestry and Conservation Scientists 83 Medical Scientists 84 Physicians 85 Dentists 86 Veterinarians 87 Optometrists 88 Podiatrists 89 Health Diagnosing Practitioners, n.e.c. 95 Registered Nurses 96 Pharmacists 97 Dietitians 98 Inhalation Therapists 99 Occupational Therapists 103 Physical Therapists 104 Speech Therapists 105 Therapists, n.e.c. 106 Physicians' Assistants 113 Earth, Environmental, and Marine Science Teachers 114 Biological Science Teachers 115 Chemistry Teachers 116 Physics Teachers 117 Natural Science Teachers, n.e.c. 118 Psychology Teachers 119 Economics Teachers 123 History Teachers 124 Political Science Teachers 125 Sociology Teachers 126 Social Science Teachers, n.e.c. 127 Engineering Teachers 128 Mathematical Science Teachers 129 Computer Science Teachers 133 Medical Science Teachers 134 Health Specialties Teachers 135 Business, Commerce, and Marketing Teachers 136 Agriculture and Forestry Teachers 137 Art, Drama, and Music Teachers 138 Physical Education Teachers 139 Education Teachers 143 English Teachers 144 Foreign Language Teachers 145 Law Teachers 146 Social Work Teachers 147 Theology Teachers 148 Trade and Industrial Teachers 149 Home Economics Teachers 153 Teachers, Postsecondary, n.e.c. 154 Postsecondary Teachers, Subject Not Specified 155 Teachers, Prekindergarten and Kindergarten 156 Teachers, Elementary School 157 Teachers, Secondary School 158 Teachers, Special Education 159 Teachers, n.e.c. 163 Counselors, Educational and Vocational 164 Librarians 165 Archivists and Curators 166 Economists 167 Psychologists 168 Sociologists 169 Social Scientists, n.e.c. 173 Urban Planners 174 Social Workers 175 Recreation Workers 176 Clergy 177 Religious Workers, n.e.c. 178 Lawyers 179 Judges 183 Authors 184 Technical Writers 185 Designers 186 Musicians and Composers 187 Actors and Directors 188 Painters, Sculptors, Craft-Artists, and Printmakers 189 Photographers 193 Dancers 194 Artists, Performers, and Related Workers, n.e.c. 195 Editors and Reporters 197 Public Relations Specialists 198 Announcers 199 Athletes 203 Clinical Laboratory Technologists and Technicians 204 Dental Hygienists 205 Health Record Technologists and Technicians 206 Radiologic Technicians 207 Licensed Practical Nurses 208 Health Technologists and Technicians, n.e.c. 213 Electrical and Electronic Technicians 214 Industrial Engineering Technicians 215 Mechanical Engineering Technicians 216 Engineering Technicians, n.e.c. 217 Drafting Occupations 218 Surveying and Mapping Technicians 223 Biological Technicians 224 Chemical Technicians 225 Science Technicians, n.e.c. 226 Airplane Pilots and Navigators 227 Air Traffic Controllers 228 Broadcast Equipment Operators 229 Computer Programmers 233 Tool Programmers, Numerical Control 234 Legal Assistants 235 Technicians, n.e.c. 243 Supervisors and Proprietors, Sales Occupations 253 Insurance Sales Occupations 254 Real Estate Sales Occupations 255 Securities and Financial Services Sales Occupations 256 Advertising and Related Sales Occupations 257 Sales Occupations, Other Business Services 258 Sales Engineers 259 Sales Rep., Mining, Manufacturing, and Wholesale 263 Sales Workers, Motor Vehicles and Boats 264 Sales Workers, Apparel 265 Sales Workers, Shoes 266 Sales Workers, Furniture and Home Furnishings 267 Sales Workers, Radio, TV, Hi-Fi, and Appliances 268 Sales Workers, Hardware and Building Supplies 269 Sales Workers, Parts 274 Sales Workers, Other Commodities 275 Sales Counter Clerks 276 Cashiers 277 Street and Door-To-Door Sales Workers 278 News Vendors 283 Demonstrators, Promoters and Models, Sales 284 Auctioneers 285 Sales Support Occupations, n.e.c. 303 Supervisors, General Office 304 Supervisors, Computer Equipment Operators 305 Supervisors, Financial Records Processing 306 Chief Communications Operators 307 Supervisors, Distribution, Scheduling, and Adjusting Clerks 308 Computer Operators 309 Peripheral Equipment Operators 313 Secretaries 314 Stenographers 315 Typists 316 Interviewers 317 Hotel Clerks 318 Transportation Ticket and Reservation Agents 319 Receptionists 323 Information Clerks, n.e.c. 325 Classified-Ad Clerks 326 Correspondence Clerks 327 Order Clerks 328 Personnel Clerks, Except Payroll and Timekeeping 329 Library Clerks 335 File Clerks 336 Records Clerks 337 Bookkeepers, Accounting and Auditing Clerks 338 Payroll and Timekeeping Clerks 339 Billing Clerks 343 Cost and Rate Clerks 344 Billing, Posting, and Calculating Machine Operators 345 Duplicating Machine Operators 346 Mail Preparing and Paper Handling Machine Operators 347 Office Machine Operators, n.e.c. 348 Telephone Operators 349 Telegraphers 353 Communications Equipment Operators, n.e.c. 354 Postal Clerks, Excluding Mail Carriers 355 Mail Carriers, Postal Service 356 Mail Clerks, Excluding Postal Service 357 Messengers 359 Dispatchers 363 Production Coordinators 364 Traffic, Shipping and Receiving Clerks 365 Stock and Inventory Clerks 366 Meter Readers 368 Weighers, Measurers, and Checkers 369 Samplers 373 Expediters 374 Material Recording, Scheduling and Distributing Clerks, n.e.c. 375 Insurance Adjusters, Examiners, and Investigators 376 Investigators and Adjusters, Except Insurance 377 Eligibility Clerks, Social Welfare 378 Bill and Account Collectors 379 General Office Clerks 383 Bank Tellers 384 Proofreaders 385 Data-Entry Keyers 386 Statistical Clerks 387 Teachers' Aides 389 Administrative Support Occupations, n.e.c. 403 Launderers and Ironers 404 Cooks, Private Household 405 Housekeepers and Butlers 406 Child Care Workers, Private Household 407 Private Household Cleaners and Servants 413 Supervisors, Firefighting and Fire Prevention Occupations 414 Supervisors, Police and Detectives 415 Supervisors, Guards 416 Fire Inspection and Fire Prevention Occupations 417 Firefighting Occupations 418 Police and Detectives, Public Service 423 Sheriffs, Bailiffs, and Other Law Enforcement Officers 424 Correctional Institution Officers 425 Crossing Guards 426 Guards and Police, Excluding Public Service 427 Protective Service Occupations 430 Former Member of the Armed Forces 431 Current Member of the Armed Forces 433 Supervisors, Food Preparation and Service Occupations 434 Bartenders 435 Waiters and Waitresses 436 Cooks, Except Short Order 437 Short-Order Cooks 438 Food Counter, Fountain and Related Occupations 439 Kitchen Workers, Food Preparation 443 Waiters'/Waitresses' Assistants 444 Miscellaneous Food Preparation Occupations 445 Dental Assistants 446 Health Aids, Except Nursing 447 Nursing Aides, Orderlies and Attendants 448 Supervisors, Cleaning and Building Service Workers 449 Maids and Housemen 453 Janitors and Cleaners 454 Elevator Operators 455 Pest Control Occupations 456 Supervisors, Personal Service Occupations 457 Barbers 458 Hairdressers and Cosmetologists 459 Attendants, Amusement and Recreation Facilities 463 Guides 464 Ushers 465 Public Transportation Attendants 466 Baggage Porters and Bellhops 467 Welfare Service Aides 468 Child Care Workers, Except Private Household 469 Personal Service Occupations, n.e.c. 473 Farmers, Except Horticultural 474 Horticultural Specialty Farmers 475 Managers, Farms, Except Horticultural 476 Managers, Horticultural Specialty Farms 477 Supervisors, Farm Workers 479 Farm Workers 483 Marine Life Cultivation Workers 484 Nursery Workers 485 Supervisors, Related Agricultural Occupations 486 Groundskeepers and Gardeners, Except Farm 487 Animal Caretakers, Except Farm 488 Graders and Sorters, Agricultural Products 489 Inspectors, Agricultural Products 494 Supervisors, Forestry and Logging Workers 495 Forestry Workers, Except Logging 496 Timber Cutting and Logging Occupations 497 Captains and Other Officers, Fishing Vessels 498 Fishers 499 Hunters and Trappers 503 Supervisors, Mechanics and Repairers 505 Automobile Mechanics, Except Apprentices 506 Automobile Mechanic Apprentices 507 Bus, Truck, and Stationary Engine Mechanics 508 Aircraft Engine Mechanics 509 Small Engine Repairers 514 Automobile Body and Related Repairers 515 Aircraft Mechanics, Excluding Engine 516 Heavy Equipment Mechanics 517 Farm Equipment Mechanics 518 Industrial Machinery Repairers 519 Machinery Maintenance Occupations 523 Electronic Repairers, Communications and Industrial Equipment 525 Data Processing Equipment Repairers 526 Household Appliance and Power Tool Repairers 527 Telephone Line Installers and Repairers 529 Telephone Installers and Repairers 533 Misc. Electrical and Electronic Equipment Repairers 534 Heating, Air Conditioning, and Refrigeration Mechanics 535 Camera, Watch, and Musical Instrument Repairers 536 Locksmiths and Safe Repairers 538 Office Machine Repairers 539 Mechanical Controls and Valve Repairers 543 Elevator Installers and Repairers 544 Millwrights 547 Specified Mechanics and Repairers, n.e.c. 549 Not Specified Mechanics and Repairers 553 Supervisors, Brickmasons, Stonemasons, and Title Setters 554 Supervisors, Carpenters and Related Work 555 Supervisors, Electricians and Power Transmission Installers 556 Supervisors, Painters, Paperhangers, and Plasterers 557 Supervisors, Plumbers, Pipefitters, and Steamfitters 558 Supervisors, n.e.c. 563 Brickmasons and Stonemasons, Except Apprentices 564 Brickmasons and Stonemasons Apprentices 565 Tile Setters, Hard and Soft 566 Carpet Installers 567 Carpenters, Except Apprentices 569 Carpenter Apprentices 573 Drywall Installers 575 Electricians, Except Apprentices 576 Electrician Apprentices 577 Electrical Power Installers and Repairers 579 Painters, Construction and Maintenance 583 Paperhangers 584 Plasterers 585 Plumbers, Pipefitters, and Steamfitters, Except Apprentices 587 Plumber, Pipefitter, and Steamfitter Apprentices 588 Concrete and Terrazzo Finishers 589 Glaziers 593 Insulation Workers 594 Paving, Surfacing, and Tamping Equipment Operators 595 Roofers 596 Sheetmetal Duct Installers 597 Structural Metal Workers 598 Drillers, Earth 599 Construction Trades, n.e.c. 613 Supervisors, Extractive Occupations 614 Drillers, Oil Well 615 Explosives Workers 616 Mining Machine Operators 617 Mining Occupations, n.e.c. 633 Supervisors, Production Occupations 634 Tool and Die Makers, Except Apprentices 635 Tool and Die Maker Apprentices 636 Precision Assemblers, Metal 637 Machinists, Except Apprentices 639 Machinist Apprentices 643 Boilermakers 644 Precision Grinders, Fitters, and Tool Sharpeners 645 Patternmakers and Model Makers, Metal 646 Lay-Out Workers 647 Precious Stones and Metals Workers 649 Engravers, Metal 653 Sheet Metal Workers, Except Apprentices 654 Sheet Metal Worker, Apprentices 655 Miscellaneous Precision Metal Workers 656 Patternmakers and Model Makers, Wood 657 Cabinet Makers and Bench Carpenters 658 Furniture and Wood Finishers 659 Miscellaneous Precision Woodworkers 666 Dressmakers 667 Tailors 668 Upholsterers 669 Shoe Repairers 673 Apparel and Fabric Patternmakers 674 Miscellaneous Precision Apparel and Fabric Workers 675 Hand Molders and Shapers, Except Jewelers 676 Patternmakers, Lay-Out Workers, and Cutters 677 Optical Goods Workers 678 Dental Laboratory and Medical Appliance Technicians 679 Bookbinders 683 Electrical and Electronic Equipment Assemblers 684 Miscellaneous Precision Workers, n.e.c. 686 Butchers and Meat Cutters 687 Bakers 688 Food Batchmakers 689 Inspectors, Testers, and Graders 693 Adjusters and Calibrators 694 Water and Sewage Treatment Plant Operators 695 Power Plant Operators 696 Stationary Engineers 699 Miscellaneous Plant and System Operators 703 Lathe and Turning Machine Set-Up Operators 704 Lathe and Turning Machine Operators 705 Milling and Planing Machine Operators 706 Punching and Stamping Press Machine Operators 707 Rolling Machine Operators 708 Drilling and Boring Machine Operators 709 Grinding, Abrading, Buffing, and Polishing Machine Operators 713 Forging Machine Operators 714 Numerical control machine operators 715 Miscellaneous Metal, Plastic, Stone, and Glass Working Machine Operators 717 Fabricating Machine Operators, n.e.c. 719 Molding and Casting Machine Operators 723 Metal Plating Machine Operators 724 Heat Treating Equipment Operators 725 Miscellaneous Metal and Plastic Processing Machine Operators 726 Wood Lathe, Routing and Planing Machine Operators 727 Sawing Machine Operators 728 Shaping and Joining Machine Operators 729 Nailing and Tacking Machine Operators 733 Miscellaneous Woodworking Machine Operators 734 Printing Machine Operators 735 Photoengravers and Lithographers 736 Typesetters and Compositors 737 Miscellaneous Printing Machine Operators 738 Winding and Twisting Machine Operators 739 Knitting, Looping, Taping, and Weaving Machine Operators 743 Textile Cutting Machine Operators 744 Textile Sewing Machine Operators 745 Shoe Machine Operators 747 Pressing Machine Operators 748 Laundering and Dry Cleaning Machine Operators 749 Miscellaneous Textile Machine Operators 753 Cementing and Gluing Machine Operators 754 Packaging and Filling Machine Operators 755 Extruding and Forming Machine Operators 756 Mixing and Blending Machine Operators 757 Separating, Filtering, and Clarifying Machine Operators 758 Compressing and Compacting Machine Operators 759 Painting and Paint Spraying Machine Operators 763 Roasting and Baking Machine Operators, Food 764 Washing, Cleaning, and Pickling Machine Operators 765 Folding Machine Operators 766 Furnace, Kiln, and Oven Operators, Except Food 768 Crushing and Grinding Machine Operators 769 Slicing and Cutting Machine Operators 773 Motion Picture Projectionists 774 Photographic Process Machine Operators 777 Miscellaneous and Not Specified Machine Operators, n.e.c. 779 Machine Operators, Not Specified 783 Welders and Cutters 784 Solderers and Blazers 785 Assemblers 786 Hand Cutting and Trimming Occupations 787 Hand Molding, Casting, and Forming Occupations 789 Hand Painting,Coating, and Decorating Occupations 793 Hand Engraving and Printing Occupations 794 Hand Grinding and Polishing Occupations 795 Miscellaneous Hand Working Occupations 796 Production Inspectors, Checkers, and Examiners 797 Production Testers 798 Production Samplers and Weighers 799 Graders and Sorters, Except Agricultural 803 Supervisors, Motor Vehicle Operators 804 Truck Drivers, Heavy 805 Truck Drivers, Light 806 Driver-Sales Workers 808 Bus Drivers 809 Taxicab Drivers and Chauffeurs 813 Parking Lot Attendants 814 Motor Transportation Occupations, n.e.c. 823 Railroad Conductors and Yardmasters 824 Locomotive Operating Occupations 825 Railroad Brake, Signal, and Switch Operators 826 Rail Vehicle Operators, n.e.c. 828 Ship Captains and Mates, Except Fishing Boats 829 Sailors and Deckhands 833 Marine Engineers 834 Bridge, Lock and Lighthouse Tenders 843 Supervisors, Material Moving Equipment Operators 844 Operating Engineers 845 Longshore Equipment Operators 848 Hoist and Winch Operators 849 Crane and Tower Operators 853 Excavating and Loading Machine Operators 855 Grader, Dozer, and Scraper Operators 856 Industrial Truck and Tractor Equipment Operators 859 Miscellaneous Material Moving Equipment Operators 863 Handlers, Equipment Cleaners, Helpers, and Laborers, n.e.c. 864 Helpers, Mechanics and Repairers 865 Helpers, Construction Trades 866 Helpers, Surveyor 867 Helpers, Extractive Occupations 869 Construction Laborers 873 Production Helpers 875 Garbage Collectors 876 Stevedores 877 Stock Handlers and Baggers 878 Machine Feeders and Offbearers 883 Freight, Stock, and Material Handlers, n.e.c. 885 Garage and Service Station Related Occupations 887 Vehicle Washers and Equipment Cleaners 888 Hand Packers and Packagers 889 Laborers, Except Construction 998 DK 999 NA	46
SPPRES80	Label: Spouse's occupational prestige score (1980) Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	47
SPIND80	Label: Spouse's industry code (1980) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 10 Agricultural production, crops 11 Agricultural production, livestock 20 Agricultural services, except horticultural 21 Horticultural services 30 Forestry 31 Fishing, hunting, and trapping, etc. 40 Metal mining 41 Coal mining 42 Crude petroleum and natural gas extraction 50 Nonmetallic mining and quarrying, except fuel 60 CONSTRUCTION 100 Meat products 101 Dairy products 102 Canned and preserved fruits and vegetables 110 Grain mill products 111 Bakery products 112 Sugar and confectionery products 120 Beverage industries 121 Miscellaneous food preparations and kindred products 122 Not specified food industries 130 Tobacco manufactures 132 Knitting mills 140 Dyeing and finishing textiles, except wool and knit goods 141 Floor coverings, except hard surface 142 Yarn, thread, and fabric mills 150 Miscellaneous textile mill products 151 Apparel and accessories, except knit 152 Miscellaneous fabricated textile products 160 Pulp, paper, and paperboard mills 161 Miscellaneous paper and pulp products 162 Paperboard containers and boxes 171 Newspaper publishing and printing 172 Printing, publishing, and allied industries, except newspapers 180 Plastics, synthetics, and resins 181 Drugs 182 Soaps and cosmetics 185 Paints, varnishes, and related products 190 Agricultural chemicals 191 Industrial and miscellaneous chemicals 192 Petroleum and coal products 200 Petroleum refining 201 Miscellaneous petroleum and coal products 210 Tires and inner tubes 211 Other rubber products, and plastics footwear and belting 212 Miscellaneous plastics products 220 Leather tanning and finishing 221 Footwear, except rubber and plastic 222 Leather products, except footwear 230 Logging 231 Sawmills, planning mills, and millwork 232 Wood buildings and mobile homes 241 Miscellaneous wood products 242 Furniture and fixtures 250 Glass and glass products 251 Cement, concrete, gypsum, and plaster products 252 Structural clay products 261 Pottery and related products 262 Miscellaneous nonmetallic mineral and stone products 270 Blast furnaces, steelworks, rolling and finishing mills 271 Iron and steel foundries 272 Primary aluminum industries 280 Other primary metal industries 281 Cutlery, hand tools, and other hardware 282 Fabricated structural metal products 290 Screw machine products 291 Metal forgings and stampings 292 Ordnance 300 Miscellaneous fabricated metal products 301 Not specified metal industries 310 Engines and turbines 311 Farm machinery and equipment 312 Construction and material handling machines 320 Metalworking machinery 321 Office and accounting machines 322 Electronic computing equipment 331 Machinery, except electrical, n.e.c. 332 Not specified machinery 340 Household appliances 341 Radio, TV, and communication equipment 342 Electrical machinery, equipment, and supplies, n.e.c. 350 Not specified electrical machinery, equipment, and supplies 351 Motor vehicles and motor vehicle equipment 352 Aircraft and parts 360 Ship and boat building and repairing 361 Railroad locomotives and equipment 362 Guided missiles, space vehicles, and parts 370 Cycles and miscellaneous transportation equipment 371 Scientific and controlling instruments 372 Optical and health services supplies 380 Photographic equipment and supplies 381 Watches, clocks, and clockwork operated devices 382 Not specified professional equipment 390 Toys, amusement, and sporting goods 391 Miscellaneous manufacturing industries 392 Not specified manufacturing industries 400 Railroads 401 Bus service and urban transit 402 Taxicab service 410 Trucking service 411 Warehousing and storage 412 U.S. Postal Service 420 Water transportation 421 Air transportation 422 Pipe lines, except natural gas 432 Services incidental to transportation 440 Radio and television broadcasting 441 Telephone (wire and radio) 442 Telegraph and miscellaneous communication service 460 Electric light and power 461 Gas and steam supply systems 462 Electric and gas, and other combinations 470 Water supply and irrigation 471 Sanitary services 472 Not specified utilities 500 Motor vehicles and equipment 501 Furniture and home furnishings 502 Lumber and construction materials 510 Sporting goods, toys, and hobby goods 511 Metals and minerals, except petroleum 512 Electrical goods 521 Hardware, plumbing and heating supplies 522 Not specified electrical and hardware products 530 Machinery, equipment, and supplies 531 Scrap and waste materials 532 Miscellaneous wholesale, durable goods 540 Paper and paper products 541 Drugs, chemicals, and allied products 542 Apparel, fabrics, and notions 550 Groceries and related products 551 Farm products-raw materials 552 Petroleum products 560 Alcoholic beverages 561 Farm supplies 562 Miscellaneous wholesale, nondurable goods 571 Not specified wholesale trade 580 Lumber and building material retailing 581 Hardware stores 582 Retail nurseries and garden stores 590 Mobile home dealers 591 Department stores 592 Variety stores 600 Miscellaneous general merchandise stores 601 Grocery stores 602 Dairy products stores 610 Retail bakeries 611 Food stores, n.e.c. 612 Motor vehicle dealers 620 Auto and home supply stores 621 Gasoline service stations 622 Miscellaneous vehicle dealers 630 Apparel and accessory stores, except shoe 631 Shoe stores 632 Furniture and home furnishings stores 640 Household appliances, TV, and radio stores 641 Eating and drinking places 642 Drug stores 650 Liquor stores 651 Sporting goods, bicycles, and hobby stores 652 Book and stationery stores 660 Jewelry stores 661 Sewing, needlework, and piece goods stores 662 Mail order houses 670 Vending machine operators 671 Direct selling establishments 672 Fuel and ice dealers 681 Retail florists 682 Miscellaneous retail stores 691 Not specified retail trade 700 Banking 701 Savings and loan associations 702 Credit agencies, n.e.c. 710 Security, commodity brokerage, and investment companies 711 Insurance 712 Real estate, including real estate-insurance-law offices 721 Advertising 722 Services to dwellings and other buildings 730 Commercial research, development, and testing labs 731 Personnel supply services 732 Business management and consulting services 740 Computer and data processing services 741 Detective and protective services 742 Business services, n.e.c. 750 Automotive services, except repair 751 Automotive repair shops 752 Electrical repair shops 760 Miscellaneous repair services 761 Private households 762 Hotels and motels 770 Lodging places, except hotels and motels 771 Laundry, cleaning, and garment services 772 Beauty shops 780 Barber shops 781 Funeral service and crematories 782 Shoe repair shops 790 Dressmaking shops 791 Miscellaneous personal services 800 Theaters and motion pictures 801 Bowling alleys, billiard and pool parlors 802 Miscellaneous entertainment and recreation services 812 Offices of physicians 820 Offices of dentists 821 Offices of chiropractors 822 Offices of optometrists 830 Offices of health practitioners, n.e.c. 831 Hospitals 832 Nursing and personal care facilities 840 Health services, n.e.c. 841 Legal services 842 Elementary and secondary schools 850 Colleges and universities 851 Business, trade, and vocational schools 852 Libraries 860 Educational services, n.e.c. 861 Job training and vocational rehabilitation services 862 Child day care services 870 Residential care facilities, without nursing 871 Social services, n.e.c. 872 Museums, art galleries and zoos 880 Religious organizations 881 Membership organizations 882 Engineering, architectural, and surveying services 890 Accounting, auditing, and bookkeeping services 891 Noncommercial educational and scientific research 892 Miscellaneous professional and related services 900 Executive and legislative offices 901 General government, n.e.c. 910 Justice, public order, and safety 921 Public finance, taxation, and monetary policy 922 Administration of human resources programs 930 Administration of environmental quality and household programs 931 Administration of economic programs 932 National security and international affairs 998 DK 999 NA	48
SPOCC10	Label: Spouse census occupation code (2010) Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 10 Chief executives 20 General and operations managers 30 Legislators 40 Advertising and promotions managers 50 Marketing and sales managers 60 Public relations and fundraising managers 100 Administrative services managers 110 Computer and information systems managers 120 Financial managers 135 Compensation and benefits managers 136 Human resources managers 137 Training and development managers 140 Industrial production managers 150 Purchasing managers 160 Transportation, storage, and distribution managers 205 Farmers, ranchers, and other agricultural managers 220 Construction managers 230 Education administrators 300 Architectural and engineering managers 310 Food service managers 325 Funeral service managers 330 Gaming managers 340 Lodging managers 350 Medical and health services managers 360 Natural sciences managers 400 Postmasters and mail superintendents 410 Property, real estate, and community association managers 420 Social and community service managers 425 Emergency management directors 430 Managers, all other 500 Agents and business managers of artists, performers, 510 Buyers and purchasing agents, farm products 520 Wholesale and retail buyers, except farm products 530 Purchasing agents, except wholesale, retail, and farm products 540 Claims adjusters, appraisers, examiners, and investigators 565 Compliance officers 600 Cost estimators 630 Human resources workers 640 Compensation, benefits, and job analysis specialists 650 Training and development specialists 700 Logisticians 710 Management analysts 725 Meeting, convention, and event planners 726 Fundraisers 735 Market research analysts and marketing specialists 740 Business operations specialists, all other 800 Accountants and auditors 810 Appraisers and assessors of real estate 820 Budget analysts 830 Credit analysts 840 Financial analysts 850 Personal financial advisors 860 Insurance underwriters 900 Financial examiners 910 Credit counselors and loan officers 930 Tax examiners and collectors, and revenue agents 940 Tax preparers 950 Financial specialists, all other 1005 Computer and information research scientists 1006 Computer systems analysts 1007 Information security analysts 1010 Computer programmers 1020 Software developers, applications and systems software 1030 Web developers 1050 Computer support specialists 1060 Database administrators 1105 Network and computer systems administrators 1106 Computer network architects 1107 Computer occupations, all other 1200 Actuaries 1210 Mathematicians 1220 Operations research analysts 1230 Statisticians 1240 Miscellaneous mathematical science occupations 1300 Architects, except naval 1310 Surveyors, cartographers, and photogrammetrists 1320 Aerospace engineers 1330 Agricultural engineers 1340 Biomedical engineers 1350 Chemical engineers 1360 Civil engineers 1400 Computer hardware engineers 1410 Electrical and electronics engineers 1420 Environmental engineers 1430 Industrial engineers, including health and safety 1440 Marine engineers and naval architects 1450 Materials engineers 1460 Mechanical engineers 1500 Mining and geological engineers, including mining safety engineers 1510 Nuclear engineers 1520 Petroleum engineers 1530 Engineers, all other 1540 Drafters 1550 Engineering technicians, except drafters 1560 Surveying and mapping technicians 1600 Agricultural and food scientists 1610 Biological scientists 1640 Conservation scientists and foresters 1650 Medical scientists 1660 Life scientists, all other 1700 Astronomers and physicists 1710 Atmospheric and space scientists 1720 Chemists and materials scientists 1740 Environmental scientists and geoscientists 1760 Physical scientists, all other 1800 Economists 1815 Survey researchers 1820 Psychologists 1830 Sociologists 1840 Urban and regional planners 1860 Miscellaneous social scientists and related workers 1900 Agricultural and food science technicians 1910 Biological technicians 1920 Chemical technicians 1930 Geological and petroleum technicians 1940 Nuclear technicians 1950 Social science research assistants 1965 Miscellaneous life, physical, and social science technicians 2000 Counselors 2010 Social workers 2015 Probation officers and correctional treatment specialists 2016 Social and human service assistants 2025 Miscellaneous community and social service specialists, 2040 Clergy 2050 Directors, religious activities and education 2060 Religious workers, all other 2100 Lawyers 2105 Judicial law clerks 2110 Judges, magistrates, and other judicial workers 2145 Paralegals and legal assistants 2160 Miscellaneous legal support workers 2200 Postsecondary teachers 2300 Preschool and kindergarten teachers 2310 Elementary and middle school teachers 2320 Secondary school teachers 2330 Special education teachers 2340 Other teachers and instructors 2400 Archivists, curators, and museum technicians 2430 Librarians 2440 Library technicians 2540 Teacher assistants 2550 Other education, training, and library workers 2600 Artists and related workers 2630 Designers 2700 Actors 2710 Producers and directors 2720 Athletes, coaches, umpires, and related workers 2740 Dancers and choreographers 2750 Musicians, singers, and related workers 2760 Entertainers and performers, sports and related workers, all other 2800 Announcers 2810 News analysts, reporters and correspondents 2825 Public relations specialists 2830 Editors 2840 Technical writers 2850 Writers and authors 2860 Miscellaneous media and communication workers 2900 Broadcast and sound engineering technicians and radio 2910 Photographers 2920 Television, video, and motion picture camera operators and 2960 Media and communication equipment workers, all other 3000 Chiropractors 3010 Dentists 3030 Dietitians and nutritionists 3040 Optometrists 3050 Pharmacists 3060 Physicians and surgeons 3110 Physician assistants 3120 Podiatrists 3140 Audiologists 3150 Occupational therapists 3160 Physical therapists 3200 Radiation therapists 3210 Recreational therapists 3220 Respiratory therapists 3230 Speech-language pathologists 3235 Exercise physiologists 3245 Therapists, all other 3250 Veterinarians 3255 Registered nurses 3256 Nurse anesthetists 3257 Nurse midwives 3258 Nurse practitioners 3260 Health diagnosing and treating practitioners, all other 3300 Clinical laboratory technologists and technicians 3310 Dental hygienists 3320 Diagnostic related technologists and technicians 3400 Emergency medical technicians and paramedics 3420 Health practitioner support technologists and technicians 3500 Licensed practical and licensed vocational nurses 3510 Medical records and health information technicians 3520 Opticians, dispensing 3535 Miscellaneous health technologists and technicians 3540 Other healthcare practitioners and technical occupations 3600 Nursing, psychiatric, and home health aides 3610 Occupational therapy assistants and aides 3620 Physical therapist assistants and aides 3630 Massage therapists 3640 Dental assistants 3645 Medical assistants 3646 Medical transcriptionists 3647 Pharmacy aides 3648 Veterinary assistants and laboratory animal caretakers 3649 Phlebotomists 3655 Miscellaneous healthcare support occupations, including medical equipment preparers 3700 First-line supervisors of correctional officers 3710 First-line supervisors of police and detectives 3720 First-line supervisors of fire fighting and prevention workers 3730 First-line supervisors of protective service workers, all other 3740 Firefighters 3750 Fire inspectors 3800 Bailiffs, correctional officers, and jailers 3820 Detectives and criminal investigators 3830 Fish and game wardens 3840 Parking enforcement workers 3850 Police and sheriff's patrol officers 3860 Transit and railroad police 3900 Animal control workers 3910 Private detectives and investigators 3930 Security guards and gaming surveillance officers 3940 Crossing guards 3945 Transportation security screeners 3955 Lifeguards and other recreational, and all other protective service workers 4000 Chefs and head cooks 4010 First-line supervisors of food preparation and serving workers 4020 Cooks 4030 Food preparation workers 4040 Bartenders 4050 Combined food preparation and serving workers, including fast food 4060 Counter attendants, cafeteria, food concession, and coffee shop 4110 Waiters and waitresses 4120 Food servers, nonrestaurant 4130 Dining room and cafeteria attendants and bartender helpers 4140 Dishwashers 4150 Hosts and hostesses, restaurant, lounge, and coffee shop 4160 Food preparation and serving related workers, all other 4200 First-line supervisors of housekeeping and janitorial workers 4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers 4220 Janitors and building cleaners 4230 Maids and housekeeping cleaners 4240 Pest control workers 4250 Grounds maintenance workers 4300 First-line supervisors of gaming workers 4320 First-line supervisors of personal service workers 4340 Animal trainers 4350 Nonfarm animal caretakers 4400 Gaming services workers 4410 Motion picture projectionists 4420 Ushers, lobby attendants, and ticket takers 4430 Miscellaneous entertainment attendants and related workers 4460 Embalmers and funeral attendants 4465 Morticians, undertakers, and funeral directors 4500 Barbers 4510 Hairdressers, hairstylists, and cosmetologists 4520 Miscellaneous personal appearance workers 4530 Baggage porters, bellhops, and concierges 4540 Tour and travel guides 4600 Childcare workers 4610 Personal care aides 4620 Recreation and fitness workers 4640 Residential advisors 4650 Personal care and service workers, all other 4700 First-line supervisors of retail sales workers 4710 First-line supervisors of non-retail sales workers 4720 Cashiers 4740 Counter and rental clerks 4750 Parts salespersons 4760 Retail salespersons 4800 Advertising sales agents 4810 Insurance sales agents 4820 Securities, commodities, and financial services sales agents 4830 Travel agents 4840 Sales representatives, services, all other 4850 Sales representatives, wholesale and manufacturing 4900 Models, demonstrators, and product promoters 4920 Real estate brokers and sales agents 4930 Sales engineers 4940 Telemarketers 4950 Door-to-door sales workers, news and street vendors, and related workers 4965 Sales and related workers, all other 5000 First-line supervisors of office and administrative support workers 5010 Switchboard operators, including answering service 5020 Telephone operators 5030 Communications equipment operators, all other 5100 Bill and account collectors 5110 Billing and posting clerks 5120 Bookkeeping, accounting, and auditing clerks 5130 Gaming cage workers 5140 Payroll and timekeeping clerks 5150 Procurement clerks 5160 Tellers 5165 Financial clerks, all other 5200 Brokerage clerks 5210 Correspondence clerks 5220 Court, municipal, and license clerks 5230 Credit authorizers, checkers, and clerks 5240 Customer service representatives 5250 Eligibility interviewers, government programs 5260 File Clerks 5300 Hotel, motel, and resort desk clerks 5310 Interviewers, except eligibility and loan 5320 Library assistants, clerical 5330 Loan interviewers and clerks 5340 New accounts clerks 5350 Order clerks 5360 Human resources assistants, except payroll and timekeeping 5400 Receptionists and information clerks 5410 Reservation and transportation ticket agents and travel clerks 5420 Information and record clerks, all other 5500 Cargo and freight agents 5510 Couriers and messengers 5520 Dispatchers 5530 Meter readers, utilities 5540 Postal service clerks 5550 Postal service mail carriers 5560 Postal service mail sorters, processors, and processing machine operators 5600 Production, planning, and expediting clerks 5610 Shipping, receiving, and traffic clerks 5620 Stock clerks and order fillers 5630 Weighers, measurers, checkers, and samplers, recordkeeping 5700 Secretaries and administrative assistants 5800 Computer operators 5810 Data entry keyers 5820 Word processors and typists 5830 Desktop publishers 5840 Insurance claims and policy processing clerks 5850 Mail clerks and mail machine operators, except postal service 5860 Office clerks, general 5900 Office machine operators, except computer 5910 Proofreaders and copy markers 5920 Statistical assistants 5940 Office and administrative support workers, all other 6005 First-line supervisors of farming, fishing, and forestry workers 6010 Agricultural inspectors 6020 Animal breeders 6040 Graders and sorters, agricultural products 6050 Miscellaneous agricultural workers 6100 Fishers and related fishing workers 6110 Hunters and trappers 6120 Forest and conservation workers 6130 Logging workers 6200 First-line supervisors of construction trades and extraction workers 6210 Boilermakers 6220 Brickmasons, blockmasons, and stonemasons 6230 Carpenters 6240 Carpet, floor, and tile installers and finishers 6250 Cement masons, concrete finishers, and terrazzo workers 6260 Construction laborers 6300 Paving, surfacing, and tamping equipment operators 6310 Pile-driver operators 6320 Operating engineers and other construction equipment operators 6330 Drywall installers, ceiling tile installers, and tapers 6355 Electricians 6360 Glaziers 6400 Insulation workers 6420 Painters, construction and maintenance 6430 Paperhangers 6440 Pipelayers, plumbers, pipefitters, and steamfitters 6460 Plasterers and stucco masons 6500 Reinforcing iron and rebar workers 6515 Roofers 6520 Sheet metal workers 6530 Structural iron and steel workers 6540 Solar photovoltaic installers 6600 Helpers, construction trades 6660 Construction and building inspectors 6700 Elevator installers and repairers 6710 Fence erectors 6720 Hazardous materials removal workers 6730 Highway maintenance workers 6740 Rail-track laying and maintenance equipment operators 6750 Septic tank servicers and sewer pipe cleaners 6765 Miscellaneous construction and related workers 6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining 6820 Earth drillers, except oil and gas 6830 Explosives workers, ordnance handling experts, and blasters 6840 Mining machine operators 6910 Roof bolters, mining 6920 Roustabouts, oil and gas 6930 Helpers—extraction workers 6940 Other extraction workers 7000 First-line supervisors of mechanics, installers, and repairers 7010 Computer, automated teller, and office machine repairers 7020 Radio and telecommunications equipment installers and repairers 7030 Avionics technicians 7040 Electric motor, power tool, and related repairers 7050 Electrical and electronics installers and repairers, transportation 7100 Electrical and electronics repairers, industrial and utility 7110 Electronic equipment installers and repairers, motor vehicles 7120 Electronic home entertainment equipment installers and repairers 7130 Security and fire alarm systems installers 7140 Aircraft mechanics and service technicians 7150 Automotive body and related repairers 7160 Automotive glass installers and repairers 7200 Automotive service technicians and mechanics 7210 Bus and truck mechanics and diesel engine specialists 7220 Heavy vehicle and mobile equipment service technicians and mechanics 7240 Small engine mechanics 7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers 7300 Control and valve installers and repairers 7315 Heating, air conditioning, and refrigeration mechanics and installers 7320 Home appliance repairers 7330 Industrial and refractory machinery mechanics 7340 Maintenance and repair workers, general 7350 Maintenance workers, machinery 7360 Millwrights 7410 Electrical power-line installers and repairers 7420 Telecommunications line installers and repairers 7430 Precision instrument and equipment repairers 7440 Wind turbine service technicians 7510 Coin, vending, and amusement machine servicers and repairers 7520 Commercial divers 7540 Locksmiths and safe repairers 7550 Manufactured building and mobile home installers 7560 Riggers 7600 Signal and track switch repairers 7610 Helpers—installation, maintenance, and repair workers 7630 Other installation, maintenance, and repair workers 7700 First-line supervisors of production and operating workers 7710 Aircraft structure, surfaces, rigging, and systems assemblers 7720 Electrical, electronics, and electromechanical assemblers 7730 Engine and other machine assemblers 7740 Structural metal fabricators and fitters 7750 Miscellaneous assemblers and fabricators 7800 Bakers 7810 Butchers and other meat, poultry, and fish processing workers 7830 Food and tobacco roasting, baking, and drying machine operators and tenders 7840 Food batchmakers 7850 Food cooking machine operators and tenders 7855 Food processing workers, all other 7900 Computer control programmers and operators 7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic 7930 Forging machine setters, operators, and tenders, metal and plastic 7940 Rolling machine setters, operators, and tenders, metal and plastic 7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic 8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic 8020 Milling and planing machine setters, operators, and tenders, metal and plastic 8030 Machinists 8040 Metal furnace operators, tenders, pourers, and casters 8060 Model makers and patternmakers, metal and plastic 8100 Molders and molding machine setters, operators, and tenders, metal and plastic 8120 Multiple machine tool setters, operators, and tenders, metal and plastic 8130 Tool and die makers 8140 Welding, soldering, and brazing workers 8150 Heat treating equipment setters, operators, and tenders, metal and plastic 8160 Layout workers, metal and plastic 8200 Plating and coating machine setters, operators, and tenders, metal and plastic 8210 Tool grinders, filers, and sharpeners 8220 Metal workers and plastic workers, all other 8250 Prepress technicians and workers 8255 Printing press operators 8256 Print binding and finishing workers 8300 Laundry and dry-cleaning workers 8310 Pressers, textile, garment, and related materials 8320 Sewing machine operators 8330 Shoe and leather workers and repairers 8340 Shoe machine operators and tenders 8350 Tailors, dressmakers, and sewers 8360 Textile bleaching and dyeing machine operators and tenders 8400 Textile cutting machine setters, operators, and tenders 8410 Textile knitting and weaving machine setters, operators, and tenders 8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders 8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers 8440 Fabric and apparel patternmakers 8450 Upholsterers 8460 Textile, apparel, and furnishings workers, all other 8500 Cabinetmakers and bench carpenters 8510 Furniture finishers 8520 Model makers and patternmakers, wood 8530 Sawing machine setters, operators, and tenders, wood 8540 Woodworking machine setters, operators, and tenders, except sawing 8550 Woodworkers, all other 8600 Power plant operators, distributors, and dispatchers 8610 Stationary engineers and boiler operators 8620 Water and wastewater treatment plant and system operators 8630 Miscellaneous plant and system operators 8640 Chemical processing machine setters, operators, and tenders 8650 Crushing, grinding, polishing, mixing, and blending workers 8710 Cutting workers 8720 Extruding, forming, pressing, and compacting machine setters, 8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders 8740 Inspectors, testers, sorters, samplers, and weighers 8750 Jewelers and precious stone and metal workers 8760 Medical, dental, and ophthalmic laboratory technicians 8800 Packaging and filling machine operators and tenders 8810 Painting workers 8830 Photographic process workers and processing machine operators 8840 Semiconductor processors 8850 Adhesive bonding machine operators and tenders 8860 Cleaning, washing, and metal pickling equipment operators and tenders 8900 Cooling and freezing equipment operators and tenders 8910 Etchers and engravers 8920 Molders, shapers, and casters, except metal and plastic 8930 Paper goods machine setters, operators, and tenders 8940 Tire builders 8950 Helpers—production workers 8965 Production workers, all other 9000 Supervisors of transportation and material moving workers 9030 Aircraft pilots and flight engineers 9040 Air traffic controllers and airfield operations specialists 9050 Flight attendants 9110 Ambulance drivers and attendants, except emergency medical technicians 9120 Bus drivers 9130 Driver/sales workers and truck drivers 9140 Taxi drivers and chauffeurs 9150 Motor vehicle operators, all other 9200 Locomotive engineers and operators 9230 Railroad brake, signal, and switch operators 9240 Railroad conductors and yardmasters 9260 Subway, streetcar, and other rail transportation workers 9300 Sailors and marine oilers 9310 Ship and boat captains and operators 9330 Ship engineers 9340 Bridge and lock tenders 9350 Parking lot attendants 9360 Automotive and watercraft service attendants 9410 Transportation inspectors 9415 Transportation attendants, except flight attendants 9420 Other transportation workers 9500 Conveyor operators and tenders 9510 Crane and tower operators 9520 Dredge, excavating, and loading machine operators 9560 Hoist and winch operators 9600 Industrial truck and tractor operators 9610 Cleaners of vehicles and equipment 9620 Laborers and freight, stock, and material movers, hand 9630 Machine feeders and offbearers 9640 Packers and packagers, hand 9650 Pumping station operators 9720 Refuse and recyclable material collectors 9730 Mine shuttle car operators 9740 Tank car, truck, and ship loaders 9750 Material moving workers, all other 9800 Military officer special and tactical operations leaders 9810 First-line enlisted military supervisors 9820 Military enlisted tactical operations and air/weapons specialists and crew members 9830 Military, rank not specified 9997 Uncodeable 9998 DK 9999 NA	49
SPOCCINDV	Label: Spouse's occ/ind verbatim retrieved Format: F8.0 Measure: Scale Display Width: 11 Missing Values: -1 Value Label -1 IAP 0 No verbatims for sp 1 Verbatims for sp	50
SPOCCSTATUS	Label: SPOCC10 coding status Format: F8.0 Measure: Nominal Display Width: 13 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned	51
SPOCCTAG	Label: SPOCC10 coding tag Format: F8.0 Measure: Scale Display Width: 10 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	52
SPPRES10	Label: Spouse occupational prestige score (2010) Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0 Value Label 0 IAP,DK,NA,uncodeable	53
SPPRES105PLUS	Label: Spouse occupational prestige score using threshold method (2010) Format: F8.0 Measure: Scale Display Width: 15 Missing Values: 0 Value Label 0 IAP,DK,NA,uncodeable	54
SPIND10	Label: Spouse's industry code (NAICS 2007) Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 Not applicable 170 Crop production 180 Animal production 190 Forestry, except logging 270 Logging 280 Fishing, hunting, and trapping 290 Support activities for agriculture and forestry 370 Oil and gas extraction 380 Coal mining 390 Metal ore mining 470 Nonmetallic mineral mining and quarrying 480 Not specified type of mining 490 Support activities for mining 570 Electric power generation, transmission, and distribution 580 Natural gas distribution 590 Electric and gas, and other combinations 670 Water, steam, air-conditioning, and irrigation systems 680 Sewage treatment facilities 690 Not specified utilities 770 Construction 1070 Animal food, grain, and oilseed milling 1080 Sugar and confectionery products 1090 Fruit and vegetable preserving and specialty food manufacturing 1170 Dairy product manufacturing 1180 Animal slaughtering and processing 1190 Retail bakeries 1270 Bakeries, except retail 1280 Seafood and other miscellaneous foods, n.e.c. 1290 Not specified food industries 1370 Beverage manufacturing 1390 Tobacco manufacturing 1470 Fiber, yarn, and thread mills 1480 Fabric mills, except knitting mills 1490 Textile and fabric finishing and coating mills 1570 Carpet and rug mills 1590 Textile product mills, except carpet and rug 1670 Knitting fabric mills, and apparel knitting mills 1680 Cut and sew apparel manufacturing 1690 Apparel accessories and other apparel manufacturing 1770 Footwear manufacturing 1790 Leather tanning and finishing and other allied products manufacturing 1870 Pulp, paper, and paperboard mills 1880 Paperboard containers and boxes 1890 Miscellaneous paper and pulp products 1990 Printing and related support activities 2070 Petroleum refining 2090 Miscellaneous petroleum and coal products 2170 Resin, synthetic rubber and fibers, and filaments manufacturing 2180 Agricultural chemical manufacturing 2190 Pharmaceutical and medicine manufacturing 2270 Paint, coating, and adhesive manufacturing 2280 Soap, cleaning compound, and cosmetics manufacturing 2290 Industrial and miscellaneous chemicals 2370 Plastics product manufacturing 2380 Tire manufacturing 2390 Rubber product, except tire, manufacturing 2470 Pottery, ceramics, and plumbing fixture manufacturing 2480 Structural clay product manufacturing 2490 Glass and glass product manufacturing 2570 Cement, concrete, lime, and gypsum product manufacturing 2590 Miscellaneous nonmetallic mineral product manufacturing 2670 Iron and steel mills and steel product manufacturing 2680 Aluminum production and processing 2690 Nonferrous metal (except aluminum) production and processing 2770 Foundries 2780 Metal forgings and stampings 2790 Cutlery and hand tool manufacturing 2870 Structural metals, and boiler, tank, and shipping container manufacturing 2880 Machine shops; turned product; screw, nut, and bolt manufacturing 2890 Coating, engraving, heat treating and allied activities 2970 Ordnance 2980 Miscellaneous fabricated metal products manufacturing 2990 Not specified metal industries 3070 Agricultural implement manufacturing 3080 Construction, and mining and oil and gas field machinery manufacturing 3090 Commercial and service industry machinery manufacturing 3170 Metalworking machinery manufacturing 3180 Engines, turbines, and power transmission equipment manufacturing 3190 Machinery manufacturing, n.e.c. 3290 Not specified machinery manufacturing 3360 Computer and peripheral equipment manufacturing 3370 Communications, and audio and video equipment manufacturing 3380 Navigational, measuring, electromedical, and control instruments manufacturing 3390 Electronic component and product manufacturing, n.e.c. 3470 Household appliance manufacturing 3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c. 3570 Motor vehicles and motor vehicle equipment manufacturing 3580 Aircraft and parts manufacturing 3590 Aerospace product and parts manufacturing 3670 Railroad rolling stock manufacturing 3680 Ship and boat building 3690 Other transportation equipment manufacturing 3770 Sawmills and wood preservation 3780 Veneer, plywood, and engineered wood products 3790 Prefabricated wood buildings and mobile homes 3870 Miscellaneous wood products 3890 Furniture and related product manufacturing 3960 Medical equipment and supplies manufacturing 3970 Sporting and athletic goods, and doll, toy and game manufacturing 3980 Miscellaneous manufacturing, n.e.c. 3990 Not specified manufacturing industries 4070 Motor vehicles, parts and supplies, merchant wholesalers 4080 Furniture and home furnishing, merchant wholesalers 4090 Lumber and other construction materials, merchant wholesalers 4170 Professional and commercial equipment and supplies, merchant wholesalers 4180 Metals and minerals, except petroleum, merchant wholesalers 4190 Electrical and electronic goods, merchant wholesalers 4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers 4270 Machinery, equipment, and supplies, merchant wholesalers 4280 Recyclable material, merchant wholesalers 4290 Miscellaneous durable goods, merchant wholesalers 4370 Paper and paper products, merchant wholesalers 4380 Drugs, sundries, and chemical and allied products, merchant wholesalers 4390 Apparel, fabrics, and notions, merchant wholesalers 4470 Groceries and related products, merchant wholesalers 4480 Farm product raw materials, merchant wholesalers 4490 Petroleum and petroleum products, merchant wholesalers 4560 Alcoholic beverages, merchant wholesalers 4570 Farm supplies, merchant wholesalers 4580 Miscellaneous nondurable goods, merchant wholesalers 4585 Wholesale electronic markets, agents and brokers 4590 Not specified wholesale trade 4670 Automobile dealers 4680 Other motor vehicle dealers 4690 Auto parts, accessories, and tire stores 4770 Furniture and home furnishings stores 4780 Household appliance stores 4790 Radio, TV, and computer stores 4870 Building material and supplies dealers 4880 Hardware stores 4890 Lawn and garden equipment and supplies stores 4970 Grocery stores 4980 Specialty food stores 4990 Beer, wine, and liquor stores 5070 Pharmacies and drug stores 5080 Health and personal care, except drug, stores 5090 Gasoline stations 5170 Clothing stores 5180 Shoe stores 5190 Jewelry, luggage, and leather goods stores 5270 Sporting goods, camera, and hobby and toy stores 5280 Sewing, needlework, and piece goods stores 5290 Music stores 5370 Book stores and news dealers 5380 Department stores and discount stores 5390 Miscellaneous general merchandise stores 5470 Retail florists 5480 Office supplies and stationery stores 5490 Used merchandise stores 5570 Gift, novelty, and souvenir shops 5580 Miscellaneous retail stores 5590 Electronic shopping 5591 Electronic auctions 5592 Mail order houses 5670 Vending machine operators 5680 Fuel dealers 5690 Other direct selling establishments 5790 Not specified retail trade 6070 Air transportation 6080 Rail transportation 6090 Water transportation 6170 Truck transportation 6180 Bus service and urban transit 6190 Taxi and limousine service 6270 Pipeline transportation 6280 Scenic and sightseeing transportation 6290 Services incidental to transportation 6370 Postal Service 6380 Couriers and messengers 6390 Warehousing and storage 6470 Newspaper publishers 6480 Periodical, book, and directory publishers 6490 Software publishers 6570 Motion pictures and video industries 6590 Sound recording industries 6670 Radio and television broadcasting and cable subscription programming 6672 Internet publishing and broadcasting and web search portals 6680 Wired telecommunications carriers 6690 Other telecommunications services 6695 Data processing, hosting, and related services 6770 Libraries and archives 6780 Other information services 6870 Banking and related activities 6880 Savings institutions, including credit unions 6890 Non-depository credit and related activities 6970 Securities, commodities, funds, trusts, and other financial investments 6990 Insurance carriers and related activities 7070 Real estate 7080 Automotive equipment rental and leasing 7170 Video tape and disk rental 7180 Other consumer goods rental 7190 Commercial, industrial, and other intangible assets rental and leasing 7270 Legal services 7280 Accounting, tax preparation, bookkeeping, and payroll services 7290 Architectural, engineering, and related services 7370 Specialized design services 7380 Computer systems design and related services 7390 Management, scientific, and technical consulting services 7460 Scientific research and development services 7470 Advertising and related services 7480 Veterinary services 7490 Other professional, scientific, and technical services 7570 Management of companies and enterprises 7580 Employment services 7590 Business support services 7670 Travel arrangements and reservation services 7680 Investigation and security services 7690 Services to buildings and dwellings 7770 Landscaping services 7780 Other administrative and other support services 7790 Waste management and remediation services 7860 Elementary and secondary schools 7870 Colleges and universities, including junior colleges 7880 Business, technical, and trade schools and training 7890 Other schools and instruction, and educational support services 7970 Offices of physicians 7980 Offices of dentists 7990 Offices of chiropractors 8070 Offices of optometrists 8080 Offices of other health practitioners 8090 Outpatient care centers 8170 Home health care services 8180 Other health care services 8190 Hospitals 8270 Nursing care facilities 8290 Residential care facilities, without nursing 8370 Individual and family services 8380 Community food and housing, and emergency services 8390 Vocational rehabilitation services 8470 Child day care services 8560 Independent artists, performing arts, spectator sports, and related industries 8570 Museums, art galleries, historical sites, and similar institutions 8580 Bowling centers 8590 Other amusement, gambling, and recreation industries 8660 Traveler accommodation 8670 Recreational vehicle parks and camps, and rooming and boarding houses 8680 Restaurants and other food services 8690 Drinking places, alcoholic beverages 8770 Automotive repair and maintenance 8780 Car washes 8790 Electronic and precision equipment repair and maintenance 8870 Commercial and industrial machinery and equipment repair and maintenance 8880 Personal and household goods repair and maintenance 8890 Footwear and leather goods repair 8970 Barber shops 8980 Beauty salons 8990 Nail salons and other personal care services 9070 Drycleaning and laundry services 9080 Funeral homes, and cemeteries and crematories 9090 Other personal services 9160 Religious organizations 9170 Civic, social, advocacy organizations, and grantmaking and giving services 9180 Labor unions 9190 Business, professional, political, and similar organizations 9290 Private households 9370 Executive offices and legislative bodies 9380 Public finance activities 9390 Other general government and support 9470 Justice, public order, and safety activities 9480 Administration of human resource programs 9490 Administration of environmental quality and housing programs 9570 Administration of economic programs and space research 9590 National security and international affairs 9670 U.S. Army 9680 U.S. Air Force 9690 U.S. Navy 9770 U.S. Marine Corps 9780 U.S. Coast Guard 9790 U.S. Armed Forces/n.s. 9870 Active duty military personnel, all other 9997 Uncodeable 9999 No answer	55
SPINDSTATUS	Label: SPIND10 coding status Format: F8.0 Measure: Nominal Display Width: 13 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned	56
SPINDTAG	Label: SPIND10 coding tag Format: F8.0 Measure: Scale Display Width: 10 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	57
COOCC10	Label: Partner's census occupation code (2010) Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 10 Chief executives 20 General and operations managers 30 Legislators 40 Advertising and promotions managers 50 Marketing and sales managers 60 Public relations and fundraising managers 100 Administrative services managers 110 Computer and information systems managers 120 Financial managers 135 Compensation and benefits managers 136 Human resources managers 137 Training and development managers 140 Industrial production managers 150 Purchasing managers 160 Transportation, storage, and distribution managers 205 Farmers, ranchers, and other agricultural managers 220 Construction managers 230 Education administrators 300 Architectural and engineering managers 310 Food service managers 325 Funeral service managers 330 Gaming managers 340 Lodging managers 350 Medical and health services managers 360 Natural sciences managers 400 Postmasters and mail superintendents 410 Property, real estate, and community association managers 420 Social and community service managers 425 Emergency management directors 430 Managers, all other 500 Agents and business managers of artists, performers, 510 Buyers and purchasing agents, farm products 520 Wholesale and retail buyers, except farm products 530 Purchasing agents, except wholesale, retail, and farm products 540 Claims adjusters, appraisers, examiners, and investigators 565 Compliance officers 600 Cost estimators 630 Human resources workers 640 Compensation, benefits, and job analysis specialists 650 Training and development specialists 700 Logisticians 710 Management analysts 725 Meeting, convention, and event planners 726 Fundraisers 735 Market research analysts and marketing specialists 740 Business operations specialists, all other 800 Accountants and auditors 810 Appraisers and assessors of real estate 820 Budget analysts 830 Credit analysts 840 Financial analysts 850 Personal financial advisors 860 Insurance underwriters 900 Financial examiners 910 Credit counselors and loan officers 930 Tax examiners and collectors, and revenue agents 940 Tax preparers 950 Financial specialists, all other 1005 Computer and information research scientists 1006 Computer systems analysts 1007 Information security analysts 1010 Computer programmers 1020 Software developers, applications and systems software 1030 Web developers 1050 Computer support specialists 1060 Database administrators 1105 Network and computer systems administrators 1106 Computer network architects 1107 Computer occupations, all other 1200 Actuaries 1210 Mathematicians 1220 Operations research analysts 1230 Statisticians 1240 Miscellaneous mathematical science occupations 1300 Architects, except naval 1310 Surveyors, cartographers, and photogrammetrists 1320 Aerospace engineers 1330 Agricultural engineers 1340 Biomedical engineers 1350 Chemical engineers 1360 Civil engineers 1400 Computer hardware engineers 1410 Electrical and electronics engineers 1420 Environmental engineers 1430 Industrial engineers, including health and safety 1440 Marine engineers and naval architects 1450 Materials engineers 1460 Mechanical engineers 1500 Mining and geological engineers, including mining safety engineers 1510 Nuclear engineers 1520 Petroleum engineers 1530 Engineers, all other 1540 Drafters 1550 Engineering technicians, except drafters 1560 Surveying and mapping technicians 1600 Agricultural and food scientists 1610 Biological scientists 1640 Conservation scientists and foresters 1650 Medical scientists 1660 Life scientists, all other 1700 Astronomers and physicists 1710 Atmospheric and space scientists 1720 Chemists and materials scientists 1740 Environmental scientists and geoscientists 1760 Physical scientists, all other 1800 Economists 1815 Survey researchers 1820 Psychologists 1830 Sociologists 1840 Urban and regional planners 1860 Miscellaneous social scientists and related workers 1900 Agricultural and food science technicians 1910 Biological technicians 1920 Chemical technicians 1930 Geological and petroleum technicians 1940 Nuclear technicians 1950 Social science research assistants 1965 Miscellaneous life, physical, and social science technicians 2000 Counselors 2010 Social workers 2015 Probation officers and correctional treatment specialists 2016 Social and human service assistants 2025 Miscellaneous community and social service specialists, 2040 Clergy 2050 Directors, religious activities and education 2060 Religious workers, all other 2100 Lawyers 2105 Judicial law clerks 2110 Judges, magistrates, and other judicial workers 2145 Paralegals and legal assistants 2160 Miscellaneous legal support workers 2200 Postsecondary teachers 2300 Preschool and kindergarten teachers 2310 Elementary and middle school teachers 2320 Secondary school teachers 2330 Special education teachers 2340 Other teachers and instructors 2400 Archivists, curators, and museum technicians 2430 Librarians 2440 Library technicians 2540 Teacher assistants 2550 Other education, training, and library workers 2600 Artists and related workers 2630 Designers 2700 Actors 2710 Producers and directors 2720 Athletes, coaches, umpires, and related workers 2740 Dancers and choreographers 2750 Musicians, singers, and related workers 2760 Entertainers and performers, sports and related workers, all other 2800 Announcers 2810 News analysts, reporters and correspondents 2825 Public relations specialists 2830 Editors 2840 Technical writers 2850 Writers and authors 2860 Miscellaneous media and communication workers 2900 Broadcast and sound engineering technicians and radio 2910 Photographers 2920 Television, video, and motion picture camera operators and 2960 Media and communication equipment workers, all other 3000 Chiropractors 3010 Dentists 3030 Dietitians and nutritionists 3040 Optometrists 3050 Pharmacists 3060 Physicians and surgeons 3110 Physician assistants 3120 Podiatrists 3140 Audiologists 3150 Occupational therapists 3160 Physical therapists 3200 Radiation therapists 3210 Recreational therapists 3220 Respiratory therapists 3230 Speech-language pathologists 3235 Exercise physiologists 3245 Therapists, all other 3250 Veterinarians 3255 Registered nurses 3256 Nurse anesthetists 3257 Nurse midwives 3258 Nurse practitioners 3260 Health diagnosing and treating practitioners, all other 3300 Clinical laboratory technologists and technicians 3310 Dental hygienists 3320 Diagnostic related technologists and technicians 3400 Emergency medical technicians and paramedics 3420 Health practitioner support technologists and technicians 3500 Licensed practical and licensed vocational nurses 3510 Medical records and health information technicians 3520 Opticians, dispensing 3535 Miscellaneous health technologists and technicians 3540 Other healthcare practitioners and technical occupations 3600 Nursing, psychiatric, and home health aides 3610 Occupational therapy assistants and aides 3620 Physical therapist assistants and aides 3630 Massage therapists 3640 Dental assistants 3645 Medical assistants 3646 Medical transcriptionists 3647 Pharmacy aides 3648 Veterinary assistants and laboratory animal caretakers 3649 Phlebotomists 3655 Miscellaneous healthcare support occupations, including medical equipment preparers 3700 First-line supervisors of correctional officers 3710 First-line supervisors of police and detectives 3720 First-line supervisors of fire fighting and prevention workers 3730 First-line supervisors of protective service workers, all other 3740 Firefighters 3750 Fire inspectors 3800 Bailiffs, correctional officers, and jailers 3820 Detectives and criminal investigators 3830 Fish and game wardens 3840 Parking enforcement workers 3850 Police and sheriff's patrol officers 3860 Transit and railroad police 3900 Animal control workers 3910 Private detectives and investigators 3930 Security guards and gaming surveillance officers 3940 Crossing guards 3945 Transportation security screeners 3955 Lifeguards and other recreational, and all other protective service workers 4000 Chefs and head cooks 4010 First-line supervisors of food preparation and serving workers 4020 Cooks 4030 Food preparation workers 4040 Bartenders 4050 Combined food preparation and serving workers, including fast food 4060 Counter attendants, cafeteria, food concession, and coffee shop 4110 Waiters and waitresses 4120 Food servers, nonrestaurant 4130 Dining room and cafeteria attendants and bartender helpers 4140 Dishwashers 4150 Hosts and hostesses, restaurant, lounge, and coffee shop 4160 Food preparation and serving related workers, all other 4200 First-line supervisors of housekeeping and janitorial workers 4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers 4220 Janitors and building cleaners 4230 Maids and housekeeping cleaners 4240 Pest control workers 4250 Grounds maintenance workers 4300 First-line supervisors of gaming workers 4320 First-line supervisors of personal service workers 4340 Animal trainers 4350 Nonfarm animal caretakers 4400 Gaming services workers 4410 Motion picture projectionists 4420 Ushers, lobby attendants, and ticket takers 4430 Miscellaneous entertainment attendants and related workers 4460 Embalmers and funeral attendants 4465 Morticians, undertakers, and funeral directors 4500 Barbers 4510 Hairdressers, hairstylists, and cosmetologists 4520 Miscellaneous personal appearance workers 4530 Baggage porters, bellhops, and concierges 4540 Tour and travel guides 4600 Childcare workers 4610 Personal care aides 4620 Recreation and fitness workers 4640 Residential advisors 4650 Personal care and service workers, all other 4700 First-line supervisors of retail sales workers 4710 First-line supervisors of non-retail sales workers 4720 Cashiers 4740 Counter and rental clerks 4750 Parts salespersons 4760 Retail salespersons 4800 Advertising sales agents 4810 Insurance sales agents 4820 Securities, commodities, and financial services sales agents 4830 Travel agents 4840 Sales representatives, services, all other 4850 Sales representatives, wholesale and manufacturing 4900 Models, demonstrators, and product promoters 4920 Real estate brokers and sales agents 4930 Sales engineers 4940 Telemarketers 4950 Door-to-door sales workers, news and street vendors, and related workers 4965 Sales and related workers, all other 5000 First-line supervisors of office and administrative support workers 5010 Switchboard operators, including answering service 5020 Telephone operators 5030 Communications equipment operators, all other 5100 Bill and account collectors 5110 Billing and posting clerks 5120 Bookkeeping, accounting, and auditing clerks 5130 Gaming cage workers 5140 Payroll and timekeeping clerks 5150 Procurement clerks 5160 Tellers 5165 Financial clerks, all other 5200 Brokerage clerks 5210 Correspondence clerks 5220 Court, municipal, and license clerks 5230 Credit authorizers, checkers, and clerks 5240 Customer service representatives 5250 Eligibility interviewers, government programs 5260 File Clerks 5300 Hotel, motel, and resort desk clerks 5310 Interviewers, except eligibility and loan 5320 Library assistants, clerical 5330 Loan interviewers and clerks 5340 New accounts clerks 5350 Order clerks 5360 Human resources assistants, except payroll and timekeeping 5400 Receptionists and information clerks 5410 Reservation and transportation ticket agents and travel clerks 5420 Information and record clerks, all other 5500 Cargo and freight agents 5510 Couriers and messengers 5520 Dispatchers 5530 Meter readers, utilities 5540 Postal service clerks 5550 Postal service mail carriers 5560 Postal service mail sorters, processors, and processing machine operators 5600 Production, planning, and expediting clerks 5610 Shipping, receiving, and traffic clerks 5620 Stock clerks and order fillers 5630 Weighers, measurers, checkers, and samplers, recordkeeping 5700 Secretaries and administrative assistants 5800 Computer operators 5810 Data entry keyers 5820 Word processors and typists 5830 Desktop publishers 5840 Insurance claims and policy processing clerks 5850 Mail clerks and mail machine operators, except postal service 5860 Office clerks, general 5900 Office machine operators, except computer 5910 Proofreaders and copy markers 5920 Statistical assistants 5940 Office and administrative support workers, all other 6005 First-line supervisors of farming, fishing, and forestry workers 6010 Agricultural inspectors 6020 Animal breeders 6040 Graders and sorters, agricultural products 6050 Miscellaneous agricultural workers 6100 Fishers and related fishing workers 6110 Hunters and trappers 6120 Forest and conservation workers 6130 Logging workers 6200 First-line supervisors of construction trades and extraction workers 6210 Boilermakers 6220 Brickmasons, blockmasons, and stonemasons 6230 Carpenters 6240 Carpet, floor, and tile installers and finishers 6250 Cement masons, concrete finishers, and terrazzo workers 6260 Construction laborers 6300 Paving, surfacing, and tamping equipment operators 6310 Pile-driver operators 6320 Operating engineers and other construction equipment operators 6330 Drywall installers, ceiling tile installers, and tapers 6355 Electricians 6360 Glaziers 6400 Insulation workers 6420 Painters, construction and maintenance 6430 Paperhangers 6440 Pipelayers, plumbers, pipefitters, and steamfitters 6460 Plasterers and stucco masons 6500 Reinforcing iron and rebar workers 6515 Roofers 6520 Sheet metal workers 6530 Structural iron and steel workers 6540 Solar photovoltaic installers 6600 Helpers, construction trades 6660 Construction and building inspectors 6700 Elevator installers and repairers 6710 Fence erectors 6720 Hazardous materials removal workers 6730 Highway maintenance workers 6740 Rail-track laying and maintenance equipment operators 6750 Septic tank servicers and sewer pipe cleaners 6765 Miscellaneous construction and related workers 6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining 6820 Earth drillers, except oil and gas 6830 Explosives workers, ordnance handling experts, and blasters 6840 Mining machine operators 6910 Roof bolters, mining 6920 Roustabouts, oil and gas 6930 Helpers—extraction workers 6940 Other extraction workers 7000 First-line supervisors of mechanics, installers, and repairers 7010 Computer, automated teller, and office machine repairers 7020 Radio and telecommunications equipment installers and repairers 7030 Avionics technicians 7040 Electric motor, power tool, and related repairers 7050 Electrical and electronics installers and repairers, transportation 7100 Electrical and electronics repairers, industrial and utility 7110 Electronic equipment installers and repairers, motor vehicles 7120 Electronic home entertainment equipment installers and repairers 7130 Security and fire alarm systems installers 7140 Aircraft mechanics and service technicians 7150 Automotive body and related repairers 7160 Automotive glass installers and repairers 7200 Automotive service technicians and mechanics 7210 Bus and truck mechanics and diesel engine specialists 7220 Heavy vehicle and mobile equipment service technicians and mechanics 7240 Small engine mechanics 7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers 7300 Control and valve installers and repairers 7315 Heating, air conditioning, and refrigeration mechanics and installers 7320 Home appliance repairers 7330 Industrial and refractory machinery mechanics 7340 Maintenance and repair workers, general 7350 Maintenance workers, machinery 7360 Millwrights 7410 Electrical power-line installers and repairers 7420 Telecommunications line installers and repairers 7430 Precision instrument and equipment repairers 7440 Wind turbine service technicians 7510 Coin, vending, and amusement machine servicers and repairers 7520 Commercial divers 7540 Locksmiths and safe repairers 7550 Manufactured building and mobile home installers 7560 Riggers 7600 Signal and track switch repairers 7610 Helpers—installation, maintenance, and repair workers 7630 Other installation, maintenance, and repair workers 7700 First-line supervisors of production and operating workers 7710 Aircraft structure, surfaces, rigging, and systems assemblers 7720 Electrical, electronics, and electromechanical assemblers 7730 Engine and other machine assemblers 7740 Structural metal fabricators and fitters 7750 Miscellaneous assemblers and fabricators 7800 Bakers 7810 Butchers and other meat, poultry, and fish processing workers 7830 Food and tobacco roasting, baking, and drying machine operators and tenders 7840 Food batchmakers 7850 Food cooking machine operators and tenders 7855 Food processing workers, all other 7900 Computer control programmers and operators 7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic 7930 Forging machine setters, operators, and tenders, metal and plastic 7940 Rolling machine setters, operators, and tenders, metal and plastic 7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic 8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic 8020 Milling and planing machine setters, operators, and tenders, metal and plastic 8030 Machinists 8040 Metal furnace operators, tenders, pourers, and casters 8060 Model makers and patternmakers, metal and plastic 8100 Molders and molding machine setters, operators, and tenders, metal and plastic 8120 Multiple machine tool setters, operators, and tenders, metal and plastic 8130 Tool and die makers 8140 Welding, soldering, and brazing workers 8150 Heat treating equipment setters, operators, and tenders, metal and plastic 8160 Layout workers, metal and plastic 8200 Plating and coating machine setters, operators, and tenders, metal and plastic 8210 Tool grinders, filers, and sharpeners 8220 Metal workers and plastic workers, all other 8250 Prepress technicians and workers 8255 Printing press operators 8256 Print binding and finishing workers 8300 Laundry and dry-cleaning workers 8310 Pressers, textile, garment, and related materials 8320 Sewing machine operators 8330 Shoe and leather workers and repairers 8340 Shoe machine operators and tenders 8350 Tailors, dressmakers, and sewers 8360 Textile bleaching and dyeing machine operators and tenders 8400 Textile cutting machine setters, operators, and tenders 8410 Textile knitting and weaving machine setters, operators, and tenders 8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders 8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers 8440 Fabric and apparel patternmakers 8450 Upholsterers 8460 Textile, apparel, and furnishings workers, all other 8500 Cabinetmakers and bench carpenters 8510 Furniture finishers 8520 Model makers and patternmakers, wood 8530 Sawing machine setters, operators, and tenders, wood 8540 Woodworking machine setters, operators, and tenders, except sawing 8550 Woodworkers, all other 8600 Power plant operators, distributors, and dispatchers 8610 Stationary engineers and boiler operators 8620 Water and wastewater treatment plant and system operators 8630 Miscellaneous plant and system operators 8640 Chemical processing machine setters, operators, and tenders 8650 Crushing, grinding, polishing, mixing, and blending workers 8710 Cutting workers 8720 Extruding, forming, pressing, and compacting machine setters, 8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders 8740 Inspectors, testers, sorters, samplers, and weighers 8750 Jewelers and precious stone and metal workers 8760 Medical, dental, and ophthalmic laboratory technicians 8800 Packaging and filling machine operators and tenders 8810 Painting workers 8830 Photographic process workers and processing machine operators 8840 Semiconductor processors 8850 Adhesive bonding machine operators and tenders 8860 Cleaning, washing, and metal pickling equipment operators and tenders 8900 Cooling and freezing equipment operators and tenders 8910 Etchers and engravers 8920 Molders, shapers, and casters, except metal and plastic 8930 Paper goods machine setters, operators, and tenders 8940 Tire builders 8950 Helpers—production workers 8965 Production workers, all other 9000 Supervisors of transportation and material moving workers 9030 Aircraft pilots and flight engineers 9040 Air traffic controllers and airfield operations specialists 9050 Flight attendants 9110 Ambulance drivers and attendants, except emergency medical technicians 9120 Bus drivers 9130 Driver/sales workers and truck drivers 9140 Taxi drivers and chauffeurs 9150 Motor vehicle operators, all other 9200 Locomotive engineers and operators 9230 Railroad brake, signal, and switch operators 9240 Railroad conductors and yardmasters 9260 Subway, streetcar, and other rail transportation workers 9300 Sailors and marine oilers 9310 Ship and boat captains and operators 9330 Ship engineers 9340 Bridge and lock tenders 9350 Parking lot attendants 9360 Automotive and watercraft service attendants 9410 Transportation inspectors 9415 Transportation attendants, except flight attendants 9420 Other transportation workers 9500 Conveyor operators and tenders 9510 Crane and tower operators 9520 Dredge, excavating, and loading machine operators 9560 Hoist and winch operators 9600 Industrial truck and tractor operators 9610 Cleaners of vehicles and equipment 9620 Laborers and freight, stock, and material movers, hand 9630 Machine feeders and offbearers 9640 Packers and packagers, hand 9650 Pumping station operators 9720 Refuse and recyclable material collectors 9730 Mine shuttle car operators 9740 Tank car, truck, and ship loaders 9750 Material moving workers, all other 9800 Military officer special and tactical operations leaders 9810 First-line enlisted military supervisors 9820 Military enlisted tactical operations and air/weapons specialists and crew members 9830 Military, rank not specified 9997 Uncodeable 9998 DK 9999 NA	58
COIND10	Label: Partner's industry code (2010) Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 170 Crop production 180 Animal production 190 Forestry, except logging 270 Logging 280 Fishing, hunting, and trapping 290 Support activities for agriculture and forestry 370 Oil and gas extraction 380 Coal mining 390 Metal ore mining 470 Nonmetallic mineral mining and quarrying 480 Not specified type of mining 490 Support activities for mining 570 Electric power generation, transmission, and distribution 580 Natural gas distribution 590 Electric and gas, and other combinations 670 Water, steam, air-conditioning, and irrigation systems 680 Sewage treatment facilities 690 Not specified utilities 770 Construction 1070 Animal food, grain, and oilseed milling 1080 Sugar and confectionery products 1090 Fruit and vegetable preserving and specialty food manufacturing 1170 Dairy product manufacturing 1180 Animal slaughtering and processing 1190 Retail bakeries 1270 Bakeries, except retail 1280 Seafood and other miscellaneous foods, n.e.c. 1290 Not specified food industries 1370 Beverage manufacturing 1390 Tobacco manufacturing 1470 Fiber, yarn, and thread mills 1480 Fabric mills, except knitting mills 1490 Textile and fabric finishing and coating mills 1570 Carpet and rug mills 1590 Textile product mills, except carpet and rug 1670 Knitting fabric mills, and apparel knitting mills 1680 Cut and sew apparel manufacturing 1690 Apparel accessories and other apparel manufacturing 1770 Footwear manufacturing 1790 Leather tanning and finishing and other allied products manufacturing 1870 Pulp, paper, and paperboard mills 1880 Paperboard containers and boxes 1890 Miscellaneous paper and pulp products 1990 Printing and related support activities 2070 Petroleum refining 2090 Miscellaneous petroleum and coal products 2170 Resin, synthetic rubber and fibers, and filaments manufacturing 2180 Agricultural chemical manufacturing 2190 Pharmaceutical and medicine manufacturing 2270 Paint, coating, and adhesive manufacturing 2280 Soap, cleaning compound, and cosmetics manufacturing 2290 Industrial and miscellaneous chemicals 2370 Plastics product manufacturing 2380 Tire manufacturing 2390 Rubber product, except tire, manufacturing 2470 Pottery, ceramics, and plumbing fixture manufacturing 2480 Structural clay product manufacturing 2490 Glass and glass product manufacturing 2570 Cement, concrete, lime, and gypsum product manufacturing 2590 Miscellaneous nonmetallic mineral product manufacturing 2670 Iron and steel mills and steel product manufacturing 2680 Aluminum production and processing 2690 Nonferrous metal (except aluminum) production and processing 2770 Foundries 2780 Metal forgings and stampings 2790 Cutlery and hand tool manufacturing 2870 Structural metals, and boiler, tank, and shipping container manufacturing 2880 Machine shops; turned product; screw, nut, and bolt manufacturing 2890 Coating, engraving, heat treating and allied activities 2970 Ordnance 2980 Miscellaneous fabricated metal products manufacturing 2990 Not specified metal industries 3070 Agricultural implement manufacturing 3080 Construction, and mining and oil and gas field machinery manufacturing 3090 Commercial and service industry machinery manufacturing 3170 Metalworking machinery manufacturing 3180 Engines, turbines, and power transmission equipment manufacturing 3190 Machinery manufacturing, n.e.c. 3290 Not specified machinery manufacturing 3360 Computer and peripheral equipment manufacturing 3370 Communications, and audio and video equipment manufacturing 3380 Navigational, measuring, electromedical, and control instruments manufacturing 3390 Electronic component and product manufacturing, n.e.c. 3470 Household appliance manufacturing 3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c. 3570 Motor vehicles and motor vehicle equipment manufacturing 3580 Aircraft and parts manufacturing 3590 Aerospace product and parts manufacturing 3670 Railroad rolling stock manufacturing 3680 Ship and boat building 3690 Other transportation equipment manufacturing 3770 Sawmills and wood preservation 3780 Veneer, plywood, and engineered wood products 3790 Prefabricated wood buildings and mobile homes 3870 Miscellaneous wood products 3890 Furniture and related product manufacturing 3960 Medical equipment and supplies manufacturing 3970 Sporting and athletic goods, and doll, toy and game manufacturing 3980 Miscellaneous manufacturing, n.e.c. 3990 Not specified manufacturing industries 4070 Motor vehicles, parts and supplies, merchant wholesalers 4080 Furniture and home furnishing, merchant wholesalers 4090 Lumber and other construction materials, merchant wholesalers 4170 Professional and commercial equipment and supplies, merchant wholesalers 4180 Metals and minerals, except petroleum, merchant wholesalers 4190 Electrical and electronic goods, merchant wholesalers 4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers 4270 Machinery, equipment, and supplies, merchant wholesalers 4280 Recyclable material, merchant wholesalers 4290 Miscellaneous durable goods, merchant wholesalers 4370 Paper and paper products, merchant wholesalers 4380 Drugs, sundries, and chemical and allied products, merchant wholesalers 4390 Apparel, fabrics, and notions, merchant wholesalers 4470 Groceries and related products, merchant wholesalers 4480 Farm product raw materials, merchant wholesalers 4490 Petroleum and petroleum products, merchant wholesalers 4560 Alcoholic beverages, merchant wholesalers 4570 Farm supplies, merchant wholesalers 4580 Miscellaneous nondurable goods, merchant wholesalers 4585 Wholesale electronic markets, agents and brokers 4590 Not specified wholesale trade 4670 Automobile dealers 4680 Other motor vehicle dealers 4690 Auto parts, accessories, and tire stores 4770 Furniture and home furnishings stores 4780 Household appliance stores 4790 Radio, TV, and computer stores 4870 Building material and supplies dealers 4880 Hardware stores 4890 Lawn and garden equipment and supplies stores 4970 Grocery stores 4980 Specialty food stores 4990 Beer, wine, and liquor stores 5070 Pharmacies and drug stores 5080 Health and personal care, except drug, stores 5090 Gasoline stations 5170 Clothing stores 5180 Shoe stores 5190 Jewelry, luggage, and leather goods stores 5270 Sporting goods, camera, and hobby and toy stores 5280 Sewing, needlework, and piece goods stores 5290 Music stores 5370 Book stores and news dealers 5380 Department stores and discount stores 5390 Miscellaneous general merchandise stores 5470 Retail florists 5480 Office supplies and stationery stores 5490 Used merchandise stores 5570 Gift, novelty, and souvenir shops 5580 Miscellaneous retail stores 5590 Electronic shopping 5591 Electronic auctions 5592 Mail order houses 5670 Vending machine operators 5680 Fuel dealers 5690 Other direct selling establishments 5790 Not specified retail trade 6070 Air transportation 6080 Rail transportation 6090 Water transportation 6170 Truck transportation 6180 Bus service and urban transit 6190 Taxi and limousine service 6270 Pipeline transportation 6280 Scenic and sightseeing transportation 6290 Services incidental to transportation 6370 Postal Service 6380 Couriers and messengers 6390 Warehousing and storage 6470 Newspaper publishers 6480 Periodical, book, and directory publishers 6490 Software publishers 6570 Motion pictures and video industries 6590 Sound recording industries 6670 Radio and television broadcasting and cable subscription programming 6672 Internet publishing and broadcasting and web search portals 6680 Wired telecommunications carriers 6690 Other telecommunications services 6695 Data processing, hosting, and related services 6770 Libraries and archives 6780 Other information services 6870 Banking and related activities 6880 Savings institutions, including credit unions 6890 Non-depository credit and related activities 6970 Securities, commodities, funds, trusts, and other financial investments 6990 Insurance carriers and related activities 7070 Real estate 7080 Automotive equipment rental and leasing 7170 Video tape and disk rental 7180 Other consumer goods rental 7190 Commercial, industrial, and other intangible assets rental and leasing 7270 Legal services 7280 Accounting, tax preparation, bookkeeping, and payroll services 7290 Architectural, engineering, and related services 7370 Specialized design services 7380 Computer systems design and related services 7390 Management, scientific, and technical consulting services 7460 Scientific research and development services 7470 Advertising and related services 7480 Veterinary services 7490 Other professional, scientific, and technical services 7570 Management of companies and enterprises 7580 Employment services 7590 Business support services 7670 Travel arrangements and reservation services 7680 Investigation and security services 7690 Services to buildings and dwellings 7770 Landscaping services 7780 Other administrative and other support services 7790 Waste management and remediation services 7860 Elementary and secondary schools 7870 Colleges and universities, including junior colleges 7880 Business, technical, and trade schools and training 7890 Other schools and instruction, and educational support services 7970 Offices of physicians 7980 Offices of dentists 7990 Offices of chiropractors 8070 Offices of optometrists 8080 Offices of other health practitioners 8090 Outpatient care centers 8170 Home health care services 8180 Other health care services 8190 Hospitals 8270 Nursing care facilities 8290 Residential care facilities, without nursing 8370 Individual and family services 8380 Community food and housing, and emergency services 8390 Vocational rehabilitation services 8470 Child day care services 8560 Independent artists, performing arts, spectator sports, and related industries 8570 Museums, art galleries, historical sites, and similar institutions 8580 Bowling centers 8590 Other amusement, gambling, and recreation industries 8660 Traveler accommodation 8670 Recreational vehicle parks and camps, and rooming and boarding houses 8680 Restaurants and other food services 8690 Drinking places, alcoholic beverages 8770 Automotive repair and maintenance 8780 Car washes 8790 Electronic and precision equipment repair and maintenance 8870 Commercial and industrial machinery and equipment repair and maintenance 8880 Personal and household goods repair and maintenance 8890 Footwear and leather goods repair 8970 Barber shops 8980 Beauty salons 8990 Nail salons and other personal care services 9070 Drycleaning and laundry services 9080 Funeral homes, and cemeteries and crematories 9090 Other personal services 9160 Religious organizations 9170 Civic, social, advocacy organizations, and grantmaking and giving services 9180 Labor unions 9190 Business, professional, political, and similar organizations 9290 Private households 9370 Executive offices and legislative bodies 9380 Public finance activities 9390 Other general government and support 9470 Justice, public order, and safety activities 9480 Administration of human resource programs 9490 Administration of environmental quality and housing programs 9570 Administration of economic programs and space research 9590 National security and international affairs 9670 U.S. Army 9680 U.S. Air Force 9690 U.S. Navy 9770 U.S. Marine Corps 9780 U.S. Coast Guard 9790 U.S. Armed Forces/n.s. 9870 Active duty military personnel, all other 9997 Uncodeable 9999 No answer	59
PAOCC16	Label: Father's census occupation code (1970) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 990 THRU 999; 0 Value Label 0 IAP 990 NA 998 DK	60
PAPRES16	Label: Father's occupational prestige score (1970) Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	61
PAWRKSLF	Label: Father self-emp. or worked for somebody Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 8 DK 9 NA	62
PAIND16	Label: Father's industry code (1970) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 IAP 990 NA 998 DK 999 NA	63
PAOCC80	Label: Father's census occupation code (1980) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 3 Legislators 4 Chief Executives and General Admin., Public Admin 5 Administrators and Officials, Public Administration 6 Administrators, Protective Service 7 Financial Managers 8 Personnel and Labor Relations Managers 9 Purchasing Managers 13 Managers, Marketing, Advertising, and Public Relations 14 Administrators, Education and Related Fields 15 Managers, Medicine and Health 16 Managers, Properties and Real Estate 17 Postmasters and Mail Superintendents 18 Funeral Directors 19 Managers and Administrators, n.e.c. 23 Accountants and Auditors 24 Underwriters 25 Other Financial Officers 26 Management Analysts 27 Personnel, Training, and Labor Relations Specialists 28 Purchasing Agents and Buyers, Farm Products 29 Buyers, Wholesale and Retail Trade Except Farm Products 33 Purchasing Agents and Buyers 34 Business and Promotion Agents 35 Construction Inspectors 36 Inspectors/Compliance Officers, Except Construction 37 Management Related Occupations, n.e.c. 43 Architects 44 Aerospace Engineers 45 Metallurgical and Materials Engineers 46 Mining Engineers 47 Petroleum Engineers 48 Chemical Engineers 49 Nuclear Engineers 53 Civil Engineers 54 Agricultural Engineers 55 Electrical and Electronic Engineers 56 Industrial Engineers 57 Mechanical Engineers 58 Marine and Naval Architects 59 Engineers, n.e.c. 63 Surveyors and Mapping Scientists 64 Computer Systems Analysts and Scientists 65 Operations and Systems Researchers and Analysts 66 Actuaries 67 Statisticians 68 Mathematical Scientists, n.e.c. 69 Physicists and Astronomers 73 Chemists, Except Biochemists 74 Atmospheric and Space Scientists 75 Geologists and Geodesists 76 Physical Scientists, n.e.c. 77 Agricultural and Food Scientists 78 Biological and Life Scientists 79 Forestry and Conservation Scientists 83 Medical Scientists 84 Physicians 85 Dentists 86 Veterinarians 87 Optometrists 88 Podiatrists 89 Health Diagnosing Practitioners, n.e.c. 95 Registered Nurses 96 Pharmacists 97 Dietitians 98 Inhalation Therapists 99 Occupational Therapists 103 Physical Therapists 104 Speech Therapists 105 Therapists, n.e.c. 106 Physicians' Assistants 113 Earth, Environmental, and Marine Science Teachers 114 Biological Science Teachers 115 Chemistry Teachers 116 Physics Teachers 117 Natural Science Teachers, n.e.c. 118 Psychology Teachers 119 Economics Teachers 123 History Teachers 124 Political Science Teachers 125 Sociology Teachers 126 Social Science Teachers, n.e.c. 127 Engineering Teachers 128 Mathematical Science Teachers 129 Computer Science Teachers 133 Medical Science Teachers 134 Health Specialties Teachers 135 Business, Commerce, and Marketing Teachers 136 Agriculture and Forestry Teachers 137 Art, Drama, and Music Teachers 138 Physical Education Teachers 139 Education Teachers 143 English Teachers 144 Foreign Language Teachers 145 Law Teachers 146 Social Work Teachers 147 Theology Teachers 148 Trade and Industrial Teachers 149 Home Economics Teachers 153 Teachers, Postsecondary, n.e.c. 154 Postsecondary Teachers, Subject Not Specified 155 Teachers, Prekindergarten and Kindergarten 156 Teachers, Elementary School 157 Teachers, Secondary School 158 Teachers, Special Education 159 Teachers, n.e.c. 163 Counselors, Educational and Vocational 164 Librarians 165 Archivists and Curators 166 Economists 167 Psychologists 168 Sociologists 169 Social Scientists, n.e.c. 173 Urban Planners 174 Social Workers 175 Recreation Workers 176 Clergy 177 Religious Workers, n.e.c. 178 Lawyers 179 Judges 183 Authors 184 Technical Writers 185 Designers 186 Musicians and Composers 187 Actors and Directors 188 Painters, Sculptors, Craft-Artists, and Printmakers 189 Photographers 193 Dancers 194 Artists, Performers, and Related Workers, n.e.c. 195 Editors and Reporters 197 Public Relations Specialists 198 Announcers 199 Athletes 203 Clinical Laboratory Technologists and Technicians 204 Dental Hygienists 205 Health Record Technologists and Technicians 206 Radiologic Technicians 207 Licensed Practical Nurses 208 Health Technologists and Technicians, n.e.c. 213 Electrical and Electronic Technicians 214 Industrial Engineering Technicians 215 Mechanical Engineering Technicians 216 Engineering Technicians, n.e.c. 217 Drafting Occupations 218 Surveying and Mapping Technicians 223 Biological Technicians 224 Chemical Technicians 225 Science Technicians, n.e.c. 226 Airplane Pilots and Navigators 227 Air Traffic Controllers 228 Broadcast Equipment Operators 229 Computer Programmers 233 Tool Programmers, Numerical Control 234 Legal Assistants 235 Technicians, n.e.c. 243 Supervisors and Proprietors, Sales Occupations 253 Insurance Sales Occupations 254 Real Estate Sales Occupations 255 Securities and Financial Services Sales Occupations 256 Advertising and Related Sales Occupations 257 Sales Occupations, Other Business Services 258 Sales Engineers 259 Sales Rep., Mining, Manufacturing, and Wholesale 263 Sales Workers, Motor Vehicles and Boats 264 Sales Workers, Apparel 265 Sales Workers, Shoes 266 Sales Workers, Furniture and Home Furnishings 267 Sales Workers, Radio, TV, Hi-Fi, and Appliances 268 Sales Workers, Hardware and Building Supplies 269 Sales Workers, Parts 274 Sales Workers, Other Commodities 275 Sales Counter Clerks 276 Cashiers 277 Street and Door-To-Door Sales Workers 278 News Vendors 283 Demonstrators, Promoters and Models, Sales 284 Auctioneers 285 Sales Support Occupations, n.e.c. 303 Supervisors, General Office 304 Supervisors, Computer Equipment Operators 305 Supervisors, Financial Records Processing 306 Chief Communications Operators 307 Supervisors, Distribution, Scheduling, and Adjusting Clerks 308 Computer Operators 309 Peripheral Equipment Operators 313 Secretaries 314 Stenographers 315 Typists 316 Interviewers 317 Hotel Clerks 318 Transportation Ticket and Reservation Agents 319 Receptionists 323 Information Clerks, n.e.c. 325 Classified-Ad Clerks 326 Correspondence Clerks 327 Order Clerks 328 Personnel Clerks, Except Payroll and Timekeeping 329 Library Clerks 335 File Clerks 336 Records Clerks 337 Bookkeepers, Accounting and Auditing Clerks 338 Payroll and Timekeeping Clerks 339 Billing Clerks 343 Cost and Rate Clerks 344 Billing, Posting, and Calculating Machine Operators 345 Duplicating Machine Operators 346 Mail Preparing and Paper Handling Machine Operators 347 Office Machine Operators, n.e.c. 348 Telephone Operators 349 Telegraphers 353 Communications Equipment Operators, n.e.c. 354 Postal Clerks, Excluding Mail Carriers 355 Mail Carriers, Postal Service 356 Mail Clerks, Excluding Postal Service 357 Messengers 359 Dispatchers 363 Production Coordinators 364 Traffic, Shipping and Receiving Clerks 365 Stock and Inventory Clerks 366 Meter Readers 368 Weighers, Measurers, and Checkers 369 Samplers 373 Expediters 374 Material Recording, Scheduling and Distributing Clerks, n.e.c. 375 Insurance Adjusters, Examiners, and Investigators 376 Investigators and Adjusters, Except Insurance 377 Eligibility Clerks, Social Welfare 378 Bill and Account Collectors 379 General Office Clerks 383 Bank Tellers 384 Proofreaders 385 Data-Entry Keyers 386 Statistical Clerks 387 Teachers' Aides 389 Administrative Support Occupations, n.e.c. 403 Launderers and Ironers 404 Cooks, Private Household 405 Housekeepers and Butlers 406 Child Care Workers, Private Household 407 Private Household Cleaners and Servants 413 Supervisors, Firefighting and Fire Prevention Occupations 414 Supervisors, Police and Detectives 415 Supervisors, Guards 416 Fire Inspection and Fire Prevention Occupations 417 Firefighting Occupations 418 Police and Detectives, Public Service 423 Sheriffs, Bailiffs, and Other Law Enforcement Officers 424 Correctional Institution Officers 425 Crossing Guards 426 Guards and Police, Excluding Public Service 427 Protective Service Occupations 430 Former Member of the Armed Forces 431 Current Member of the Armed Forces 433 Supervisors, Food Preparation and Service Occupations 434 Bartenders 435 Waiters and Waitresses 436 Cooks, Except Short Order 437 Short-Order Cooks 438 Food Counter, Fountain and Related Occupations 439 Kitchen Workers, Food Preparation 443 Waiters'/Waitresses' Assistants 444 Miscellaneous Food Preparation Occupations 445 Dental Assistants 446 Health Aids, Except Nursing 447 Nursing Aides, Orderlies and Attendants 448 Supervisors, Cleaning and Building Service Workers 449 Maids and Housemen 453 Janitors and Cleaners 454 Elevator Operators 455 Pest Control Occupations 456 Supervisors, Personal Service Occupations 457 Barbers 458 Hairdressers and Cosmetologists 459 Attendants, Amusement and Recreation Facilities 463 Guides 464 Ushers 465 Public Transportation Attendants 466 Baggage Porters and Bellhops 467 Welfare Service Aides 468 Child Care Workers, Except Private Household 469 Personal Service Occupations, n.e.c. 473 Farmers, Except Horticultural 474 Horticultural Specialty Farmers 475 Managers, Farms, Except Horticultural 476 Managers, Horticultural Specialty Farms 477 Supervisors, Farm Workers 479 Farm Workers 483 Marine Life Cultivation Workers 484 Nursery Workers 485 Supervisors, Related Agricultural Occupations 486 Groundskeepers and Gardeners, Except Farm 487 Animal Caretakers, Except Farm 488 Graders and Sorters, Agricultural Products 489 Inspectors, Agricultural Products 494 Supervisors, Forestry and Logging Workers 495 Forestry Workers, Except Logging 496 Timber Cutting and Logging Occupations 497 Captains and Other Officers, Fishing Vessels 498 Fishers 499 Hunters and Trappers 503 Supervisors, Mechanics and Repairers 505 Automobile Mechanics, Except Apprentices 506 Automobile Mechanic Apprentices 507 Bus, Truck, and Stationary Engine Mechanics 508 Aircraft Engine Mechanics 509 Small Engine Repairers 514 Automobile Body and Related Repairers 515 Aircraft Mechanics, Excluding Engine 516 Heavy Equipment Mechanics 517 Farm Equipment Mechanics 518 Industrial Machinery Repairers 519 Machinery Maintenance Occupations 523 Electronic Repairers, Communications and Industrial Equipment 525 Data Processing Equipment Repairers 526 Household Appliance and Power Tool Repairers 527 Telephone Line Installers and Repairers 529 Telephone Installers and Repairers 533 Misc. Electrical and Electronic Equipment Repairers 534 Heating, Air Conditioning, and Refrigeration Mechanics 535 Camera, Watch, and Musical Instrument Repairers 536 Locksmiths and Safe Repairers 538 Office Machine Repairers 539 Mechanical Controls and Valve Repairers 543 Elevator Installers and Repairers 544 Millwrights 547 Specified Mechanics and Repairers, n.e.c. 549 Not Specified Mechanics and Repairers 553 Supervisors, Brickmasons, Stonemasons, and Title Setters 554 Supervisors, Carpenters and Related Work 555 Supervisors, Electricians and Power Transmission Installers 556 Supervisors, Painters, Paperhangers, and Plasterers 557 Supervisors, Plumbers, Pipefitters, and Steamfitters 558 Supervisors, n.e.c. 563 Brickmasons and Stonemasons, Except Apprentices 564 Brickmasons and Stonemasons Apprentices 565 Tile Setters, Hard and Soft 566 Carpet Installers 567 Carpenters, Except Apprentices 569 Carpenter Apprentices 573 Drywall Installers 575 Electricians, Except Apprentices 576 Electrician Apprentices 577 Electrical Power Installers and Repairers 579 Painters, Construction and Maintenance 583 Paperhangers 584 Plasterers 585 Plumbers, Pipefitters, and Steamfitters, Except Apprentices 587 Plumber, Pipefitter, and Steamfitter Apprentices 588 Concrete and Terrazzo Finishers 589 Glaziers 593 Insulation Workers 594 Paving, Surfacing, and Tamping Equipment Operators 595 Roofers 596 Sheetmetal Duct Installers 597 Structural Metal Workers 598 Drillers, Earth 599 Construction Trades, n.e.c. 613 Supervisors, Extractive Occupations 614 Drillers, Oil Well 615 Explosives Workers 616 Mining Machine Operators 617 Mining Occupations, n.e.c. 633 Supervisors, Production Occupations 634 Tool and Die Makers, Except Apprentices 635 Tool and Die Maker Apprentices 636 Precision Assemblers, Metal 637 Machinists, Except Apprentices 639 Machinist Apprentices 643 Boilermakers 644 Precision Grinders, Fitters, and Tool Sharpeners 645 Patternmakers and Model Makers, Metal 646 Lay-Out Workers 647 Precious Stones and Metals Workers 649 Engravers, Metal 653 Sheet Metal Workers, Except Apprentices 654 Sheet Metal Worker, Apprentices 655 Miscellaneous Precision Metal Workers 656 Patternmakers and Model Makers, Wood 657 Cabinet Makers and Bench Carpenters 658 Furniture and Wood Finishers 659 Miscellaneous Precision Woodworkers 666 Dressmakers 667 Tailors 668 Upholsterers 669 Shoe Repairers 673 Apparel and Fabric Patternmakers 674 Miscellaneous Precision Apparel and Fabric Workers 675 Hand Molders and Shapers, Except Jewelers 676 Patternmakers, Lay-Out Workers, and Cutters 677 Optical Goods Workers 678 Dental Laboratory and Medical Appliance Technicians 679 Bookbinders 683 Electrical and Electronic Equipment Assemblers 684 Miscellaneous Precision Workers, n.e.c. 686 Butchers and Meat Cutters 687 Bakers 688 Food Batchmakers 689 Inspectors, Testers, and Graders 693 Adjusters and Calibrators 694 Water and Sewage Treatment Plant Operators 695 Power Plant Operators 696 Stationary Engineers 699 Miscellaneous Plant and System Operators 703 Lathe and Turning Machine Set-Up Operators 704 Lathe and Turning Machine Operators 705 Milling and Planing Machine Operators 706 Punching and Stamping Press Machine Operators 707 Rolling Machine Operators 708 Drilling and Boring Machine Operators 709 Grinding, Abrading, Buffing, and Polishing Machine Operators 713 Forging Machine Operators 714 Numerical control machine operators 715 Miscellaneous Metal, Plastic, Stone, and Glass Working Machine Operators 717 Fabricating Machine Operators, n.e.c. 719 Molding and Casting Machine Operators 723 Metal Plating Machine Operators 724 Heat Treating Equipment Operators 725 Miscellaneous Metal and Plastic Processing Machine Operators 726 Wood Lathe, Routing and Planing Machine Operators 727 Sawing Machine Operators 728 Shaping and Joining Machine Operators 729 Nailing and Tacking Machine Operators 733 Miscellaneous Woodworking Machine Operators 734 Printing Machine Operators 735 Photoengravers and Lithographers 736 Typesetters and Compositors 737 Miscellaneous Printing Machine Operators 738 Winding and Twisting Machine Operators 739 Knitting, Looping, Taping, and Weaving Machine Operators 743 Textile Cutting Machine Operators 744 Textile Sewing Machine Operators 745 Shoe Machine Operators 747 Pressing Machine Operators 748 Laundering and Dry Cleaning Machine Operators 749 Miscellaneous Textile Machine Operators 753 Cementing and Gluing Machine Operators 754 Packaging and Filling Machine Operators 755 Extruding and Forming Machine Operators 756 Mixing and Blending Machine Operators 757 Separating, Filtering, and Clarifying Machine Operators 758 Compressing and Compacting Machine Operators 759 Painting and Paint Spraying Machine Operators 763 Roasting and Baking Machine Operators, Food 764 Washing, Cleaning, and Pickling Machine Operators 765 Folding Machine Operators 766 Furnace, Kiln, and Oven Operators, Except Food 768 Crushing and Grinding Machine Operators 769 Slicing and Cutting Machine Operators 773 Motion Picture Projectionists 774 Photographic Process Machine Operators 777 Miscellaneous and Not Specified Machine Operators, n.e.c. 779 Machine Operators, Not Specified 783 Welders and Cutters 784 Solderers and Blazers 785 Assemblers 786 Hand Cutting and Trimming Occupations 787 Hand Molding, Casting, and Forming Occupations 789 Hand Painting,Coating, and Decorating Occupations 793 Hand Engraving and Printing Occupations 794 Hand Grinding and Polishing Occupations 795 Miscellaneous Hand Working Occupations 796 Production Inspectors, Checkers, and Examiners 797 Production Testers 798 Production Samplers and Weighers 799 Graders and Sorters, Except Agricultural 803 Supervisors, Motor Vehicle Operators 804 Truck Drivers, Heavy 805 Truck Drivers, Light 806 Driver-Sales Workers 808 Bus Drivers 809 Taxicab Drivers and Chauffeurs 813 Parking Lot Attendants 814 Motor Transportation Occupations, n.e.c. 823 Railroad Conductors and Yardmasters 824 Locomotive Operating Occupations 825 Railroad Brake, Signal, and Switch Operators 826 Rail Vehicle Operators, n.e.c. 828 Ship Captains and Mates, Except Fishing Boats 829 Sailors and Deckhands 833 Marine Engineers 834 Bridge, Lock and Lighthouse Tenders 843 Supervisors, Material Moving Equipment Operators 844 Operating Engineers 845 Longshore Equipment Operators 848 Hoist and Winch Operators 849 Crane and Tower Operators 853 Excavating and Loading Machine Operators 855 Grader, Dozer, and Scraper Operators 856 Industrial Truck and Tractor Equipment Operators 859 Miscellaneous Material Moving Equipment Operators 863 Handlers, Equipment Cleaners, Helpers, and Laborers, n.e.c. 864 Helpers, Mechanics and Repairers 865 Helpers, Construction Trades 866 Helpers, Surveyor 867 Helpers, Extractive Occupations 869 Construction Laborers 873 Production Helpers 875 Garbage Collectors 876 Stevedores 877 Stock Handlers and Baggers 878 Machine Feeders and Offbearers 883 Freight, Stock, and Material Handlers, n.e.c. 885 Garage and Service Station Related Occupations 887 Vehicle Washers and Equipment Cleaners 888 Hand Packers and Packagers 889 Laborers, Except Construction 998 DK 999 NA	64
PAPRES80	Label: Father's occupational prestige score (1980) Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	65
PAIND80	Label: Father's industry code (1980) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 10 Agricultural production, crops 11 Agricultural production, livestock 20 Agricultural services, except horticultural 21 Horticultural services 30 Forestry 31 Fishing, hunting, and trapping, etc. 40 Metal mining 41 Coal mining 42 Crude petroleum and natural gas extraction 50 Nonmetallic mining and quarrying, except fuel 60 CONSTRUCTION 100 Meat products 101 Dairy products 102 Canned and preserved fruits and vegetables 110 Grain mill products 111 Bakery products 112 Sugar and confectionery products 120 Beverage industries 121 Miscellaneous food preparations and kindred products 122 Not specified food industries 130 Tobacco manufactures 132 Knitting mills 140 Dyeing and finishing textiles, except wool and knit goods 141 Floor coverings, except hard surface 142 Yarn, thread, and fabric mills 150 Miscellaneous textile mill products 151 Apparel and accessories, except knit 152 Miscellaneous fabricated textile products 160 Pulp, paper, and paperboard mills 161 Miscellaneous paper and pulp products 162 Paperboard containers and boxes 171 Newspaper publishing and printing 172 Printing, publishing, and allied industries, except newspapers 180 Plastics, synthetics, and resins 181 Drugs 182 Soaps and cosmetics 185 Paints, varnishes, and related products 190 Agricultural chemicals 191 Industrial and miscellaneous chemicals 192 Petroleum and coal products 200 Petroleum refining 201 Miscellaneous petroleum and coal products 210 Tires and inner tubes 211 Other rubber products, and plastics footwear and belting 212 Miscellaneous plastics products 220 Leather tanning and finishing 221 Footwear, except rubber and plastic 222 Leather products, except footwear 230 Logging 231 Sawmills, planning mills, and millwork 232 Wood buildings and mobile homes 241 Miscellaneous wood products 242 Furniture and fixtures 250 Glass and glass products 251 Cement, concrete, gypsum, and plaster products 252 Structural clay products 261 Pottery and related products 262 Miscellaneous nonmetallic mineral and stone products 270 Blast furnaces, steelworks, rolling and finishing mills 271 Iron and steel foundries 272 Primary aluminum industries 280 Other primary metal industries 281 Cutlery, hand tools, and other hardware 282 Fabricated structural metal products 290 Screw machine products 291 Metal forgings and stampings 292 Ordnance 300 Miscellaneous fabricated metal products 301 Not specified metal industries 310 Engines and turbines 311 Farm machinery and equipment 312 Construction and material handling machines 320 Metalworking machinery 321 Office and accounting machines 322 Electronic computing equipment 331 Machinery, except electrical, n.e.c. 332 Not specified machinery 340 Household appliances 341 Radio, TV, and communication equipment 342 Electrical machinery, equipment, and supplies, n.e.c. 350 Not specified electrical machinery, equipment, and supplies 351 Motor vehicles and motor vehicle equipment 352 Aircraft and parts 360 Ship and boat building and repairing 361 Railroad locomotives and equipment 362 Guided missiles, space vehicles, and parts 370 Cycles and miscellaneous transportation equipment 371 Scientific and controlling instruments 372 Optical and health services supplies 380 Photographic equipment and supplies 381 Watches, clocks, and clockwork operated devices 382 Not specified professional equipment 390 Toys, amusement, and sporting goods 391 Miscellaneous manufacturing industries 392 Not specified manufacturing industries 400 Railroads 401 Bus service and urban transit 402 Taxicab service 410 Trucking service 411 Warehousing and storage 412 U.S. Postal Service 420 Water transportation 421 Air transportation 422 Pipe lines, except natural gas 432 Services incidental to transportation 440 Radio and television broadcasting 441 Telephone (wire and radio) 442 Telegraph and miscellaneous communication service 460 Electric light and power 461 Gas and steam supply systems 462 Electric and gas, and other combinations 470 Water supply and irrigation 471 Sanitary services 472 Not specified utilities 500 Motor vehicles and equipment 501 Furniture and home furnishings 502 Lumber and construction materials 510 Sporting goods, toys, and hobby goods 511 Metals and minerals, except petroleum 512 Electrical goods 521 Hardware, plumbing and heating supplies 522 Not specified electrical and hardware products 530 Machinery, equipment, and supplies 531 Scrap and waste materials 532 Miscellaneous wholesale, durable goods 540 Paper and paper products 541 Drugs, chemicals, and allied products 542 Apparel, fabrics, and notions 550 Groceries and related products 551 Farm products-raw materials 552 Petroleum products 560 Alcoholic beverages 561 Farm supplies 562 Miscellaneous wholesale, nondurable goods 571 Not specified wholesale trade 580 Lumber and building material retailing 581 Hardware stores 582 Retail nurseries and garden stores 590 Mobile home dealers 591 Department stores 592 Variety stores 600 Miscellaneous general merchandise stores 601 Grocery stores 602 Dairy products stores 610 Retail bakeries 611 Food stores, n.e.c. 612 Motor vehicle dealers 620 Auto and home supply stores 621 Gasoline service stations 622 Miscellaneous vehicle dealers 630 Apparel and accessory stores, except shoe 631 Shoe stores 632 Furniture and home furnishings stores 640 Household appliances, TV, and radio stores 641 Eating and drinking places 642 Drug stores 650 Liquor stores 651 Sporting goods, bicycles, and hobby stores 652 Book and stationery stores 660 Jewelry stores 661 Sewing, needlework, and piece goods stores 662 Mail order houses 670 Vending machine operators 671 Direct selling establishments 672 Fuel and ice dealers 681 Retail florists 682 Miscellaneous retail stores 691 Not specified retail trade 700 Banking 701 Savings and loan associations 702 Credit agencies, n.e.c. 710 Security, commodity brokerage, and investment companies 711 Insurance 712 Real estate, including real estate-insurance-law offices 721 Advertising 722 Services to dwellings and other buildings 730 Commercial research, development, and testing labs 731 Personnel supply services 732 Business management and consulting services 740 Computer and data processing services 741 Detective and protective services 742 Business services, n.e.c. 750 Automotive services, except repair 751 Automotive repair shops 752 Electrical repair shops 760 Miscellaneous repair services 761 Private households 762 Hotels and motels 770 Lodging places, except hotels and motels 771 Laundry, cleaning, and garment services 772 Beauty shops 780 Barber shops 781 Funeral service and crematories 782 Shoe repair shops 790 Dressmaking shops 791 Miscellaneous personal services 800 Theaters and motion pictures 801 Bowling alleys, billiard and pool parlors 802 Miscellaneous entertainment and recreation services 812 Offices of physicians 820 Offices of dentists 821 Offices of chiropractors 822 Offices of optometrists 830 Offices of health practitioners, n.e.c. 831 Hospitals 832 Nursing and personal care facilities 840 Health services, n.e.c. 841 Legal services 842 Elementary and secondary schools 850 Colleges and universities 851 Business, trade, and vocational schools 852 Libraries 860 Educational services, n.e.c. 861 Job training and vocational rehabilitation services 862 Child day care services 870 Residential care facilities, without nursing 871 Social services, n.e.c. 872 Museums, art galleries and zoos 880 Religious organizations 881 Membership organizations 882 Engineering, architectural, and surveying services 890 Accounting, auditing, and bookkeeping services 891 Noncommercial educational and scientific research 892 Miscellaneous professional and related services 900 Executive and legislative offices 901 General government, n.e.c. 910 Justice, public order, and safety 921 Public finance, taxation, and monetary policy 922 Administration of human resources programs 930 Administration of environmental quality and household programs 931 Administration of economic programs 932 National security and international affairs 998 DK 999 NA	66
PAOCC10	Label: Father's census occupation code (2010) Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 10 Chief executives 20 General and operations managers 30 Legislators 40 Advertising and promotions managers 50 Marketing and sales managers 60 Public relations and fundraising managers 100 Administrative services managers 110 Computer and information systems managers 120 Financial managers 135 Compensation and benefits managers 136 Human resources managers 137 Training and development managers 140 Industrial production managers 150 Purchasing managers 160 Transportation, storage, and distribution managers 205 Farmers, ranchers, and other agricultural managers 220 Construction managers 230 Education administrators 300 Architectural and engineering managers 310 Food service managers 325 Funeral service managers 330 Gaming managers 340 Lodging managers 350 Medical and health services managers 360 Natural sciences managers 400 Postmasters and mail superintendents 410 Property, real estate, and community association managers 420 Social and community service managers 425 Emergency management directors 430 Managers, all other 500 Agents and business managers of artists, performers, 510 Buyers and purchasing agents, farm products 520 Wholesale and retail buyers, except farm products 530 Purchasing agents, except wholesale, retail, and farm products 540 Claims adjusters, appraisers, examiners, and investigators 565 Compliance officers 600 Cost estimators 630 Human resources workers 640 Compensation, benefits, and job analysis specialists 650 Training and development specialists 700 Logisticians 710 Management analysts 725 Meeting, convention, and event planners 726 Fundraisers 735 Market research analysts and marketing specialists 740 Business operations specialists, all other 800 Accountants and auditors 810 Appraisers and assessors of real estate 820 Budget analysts 830 Credit analysts 840 Financial analysts 850 Personal financial advisors 860 Insurance underwriters 900 Financial examiners 910 Credit counselors and loan officers 930 Tax examiners and collectors, and revenue agents 940 Tax preparers 950 Financial specialists, all other 1005 Computer and information research scientists 1006 Computer systems analysts 1007 Information security analysts 1010 Computer programmers 1020 Software developers, applications and systems software 1030 Web developers 1050 Computer support specialists 1060 Database administrators 1105 Network and computer systems administrators 1106 Computer network architects 1107 Computer occupations, all other 1200 Actuaries 1210 Mathematicians 1220 Operations research analysts 1230 Statisticians 1240 Miscellaneous mathematical science occupations 1300 Architects, except naval 1310 Surveyors, cartographers, and photogrammetrists 1320 Aerospace engineers 1330 Agricultural engineers 1340 Biomedical engineers 1350 Chemical engineers 1360 Civil engineers 1400 Computer hardware engineers 1410 Electrical and electronics engineers 1420 Environmental engineers 1430 Industrial engineers, including health and safety 1440 Marine engineers and naval architects 1450 Materials engineers 1460 Mechanical engineers 1500 Mining and geological engineers, including mining safety engineers 1510 Nuclear engineers 1520 Petroleum engineers 1530 Engineers, all other 1540 Drafters 1550 Engineering technicians, except drafters 1560 Surveying and mapping technicians 1600 Agricultural and food scientists 1610 Biological scientists 1640 Conservation scientists and foresters 1650 Medical scientists 1660 Life scientists, all other 1700 Astronomers and physicists 1710 Atmospheric and space scientists 1720 Chemists and materials scientists 1740 Environmental scientists and geoscientists 1760 Physical scientists, all other 1800 Economists 1815 Survey researchers 1820 Psychologists 1830 Sociologists 1840 Urban and regional planners 1860 Miscellaneous social scientists and related workers 1900 Agricultural and food science technicians 1910 Biological technicians 1920 Chemical technicians 1930 Geological and petroleum technicians 1940 Nuclear technicians 1950 Social science research assistants 1965 Miscellaneous life, physical, and social science technicians 2000 Counselors 2010 Social workers 2015 Probation officers and correctional treatment specialists 2016 Social and human service assistants 2025 Miscellaneous community and social service specialists, 2040 Clergy 2050 Directors, religious activities and education 2060 Religious workers, all other 2100 Lawyers 2105 Judicial law clerks 2110 Judges, magistrates, and other judicial workers 2145 Paralegals and legal assistants 2160 Miscellaneous legal support workers 2200 Postsecondary teachers 2300 Preschool and kindergarten teachers 2310 Elementary and middle school teachers 2320 Secondary school teachers 2330 Special education teachers 2340 Other teachers and instructors 2400 Archivists, curators, and museum technicians 2430 Librarians 2440 Library technicians 2540 Teacher assistants 2550 Other education, training, and library workers 2600 Artists and related workers 2630 Designers 2700 Actors 2710 Producers and directors 2720 Athletes, coaches, umpires, and related workers 2740 Dancers and choreographers 2750 Musicians, singers, and related workers 2760 Entertainers and performers, sports and related workers, all other 2800 Announcers 2810 News analysts, reporters and correspondents 2825 Public relations specialists 2830 Editors 2840 Technical writers 2850 Writers and authors 2860 Miscellaneous media and communication workers 2900 Broadcast and sound engineering technicians and radio 2910 Photographers 2920 Television, video, and motion picture camera operators and 2960 Media and communication equipment workers, all other 3000 Chiropractors 3010 Dentists 3030 Dietitians and nutritionists 3040 Optometrists 3050 Pharmacists 3060 Physicians and surgeons 3110 Physician assistants 3120 Podiatrists 3140 Audiologists 3150 Occupational therapists 3160 Physical therapists 3200 Radiation therapists 3210 Recreational therapists 3220 Respiratory therapists 3230 Speech-language pathologists 3235 Exercise physiologists 3245 Therapists, all other 3250 Veterinarians 3255 Registered nurses 3256 Nurse anesthetists 3257 Nurse midwives 3258 Nurse practitioners 3260 Health diagnosing and treating practitioners, all other 3300 Clinical laboratory technologists and technicians 3310 Dental hygienists 3320 Diagnostic related technologists and technicians 3400 Emergency medical technicians and paramedics 3420 Health practitioner support technologists and technicians 3500 Licensed practical and licensed vocational nurses 3510 Medical records and health information technicians 3520 Opticians, dispensing 3535 Miscellaneous health technologists and technicians 3540 Other healthcare practitioners and technical occupations 3600 Nursing, psychiatric, and home health aides 3610 Occupational therapy assistants and aides 3620 Physical therapist assistants and aides 3630 Massage therapists 3640 Dental assistants 3645 Medical assistants 3646 Medical transcriptionists 3647 Pharmacy aides 3648 Veterinary assistants and laboratory animal caretakers 3649 Phlebotomists 3655 Miscellaneous healthcare support occupations, including medical equipment preparers 3700 First-line supervisors of correctional officers 3710 First-line supervisors of police and detectives 3720 First-line supervisors of fire fighting and prevention workers 3730 First-line supervisors of protective service workers, all other 3740 Firefighters 3750 Fire inspectors 3800 Bailiffs, correctional officers, and jailers 3820 Detectives and criminal investigators 3830 Fish and game wardens 3840 Parking enforcement workers 3850 Police and sheriff's patrol officers 3860 Transit and railroad police 3900 Animal control workers 3910 Private detectives and investigators 3930 Security guards and gaming surveillance officers 3940 Crossing guards 3945 Transportation security screeners 3955 Lifeguards and other recreational, and all other protective service workers 4000 Chefs and head cooks 4010 First-line supervisors of food preparation and serving workers 4020 Cooks 4030 Food preparation workers 4040 Bartenders 4050 Combined food preparation and serving workers, including fast food 4060 Counter attendants, cafeteria, food concession, and coffee shop 4110 Waiters and waitresses 4120 Food servers, nonrestaurant 4130 Dining room and cafeteria attendants and bartender helpers 4140 Dishwashers 4150 Hosts and hostesses, restaurant, lounge, and coffee shop 4160 Food preparation and serving related workers, all other 4200 First-line supervisors of housekeeping and janitorial workers 4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers 4220 Janitors and building cleaners 4230 Maids and housekeeping cleaners 4240 Pest control workers 4250 Grounds maintenance workers 4300 First-line supervisors of gaming workers 4320 First-line supervisors of personal service workers 4340 Animal trainers 4350 Nonfarm animal caretakers 4400 Gaming services workers 4410 Motion picture projectionists 4420 Ushers, lobby attendants, and ticket takers 4430 Miscellaneous entertainment attendants and related workers 4460 Embalmers and funeral attendants 4465 Morticians, undertakers, and funeral directors 4500 Barbers 4510 Hairdressers, hairstylists, and cosmetologists 4520 Miscellaneous personal appearance workers 4530 Baggage porters, bellhops, and concierges 4540 Tour and travel guides 4600 Childcare workers 4610 Personal care aides 4620 Recreation and fitness workers 4640 Residential advisors 4650 Personal care and service workers, all other 4700 First-line supervisors of retail sales workers 4710 First-line supervisors of non-retail sales workers 4720 Cashiers 4740 Counter and rental clerks 4750 Parts salespersons 4760 Retail salespersons 4800 Advertising sales agents 4810 Insurance sales agents 4820 Securities, commodities, and financial services sales agents 4830 Travel agents 4840 Sales representatives, services, all other 4850 Sales representatives, wholesale and manufacturing 4900 Models, demonstrators, and product promoters 4920 Real estate brokers and sales agents 4930 Sales engineers 4940 Telemarketers 4950 Door-to-door sales workers, news and street vendors, and related workers 4965 Sales and related workers, all other 5000 First-line supervisors of office and administrative support workers 5010 Switchboard operators, including answering service 5020 Telephone operators 5030 Communications equipment operators, all other 5100 Bill and account collectors 5110 Billing and posting clerks 5120 Bookkeeping, accounting, and auditing clerks 5130 Gaming cage workers 5140 Payroll and timekeeping clerks 5150 Procurement clerks 5160 Tellers 5165 Financial clerks, all other 5200 Brokerage clerks 5210 Correspondence clerks 5220 Court, municipal, and license clerks 5230 Credit authorizers, checkers, and clerks 5240 Customer service representatives 5250 Eligibility interviewers, government programs 5260 File Clerks 5300 Hotel, motel, and resort desk clerks 5310 Interviewers, except eligibility and loan 5320 Library assistants, clerical 5330 Loan interviewers and clerks 5340 New accounts clerks 5350 Order clerks 5360 Human resources assistants, except payroll and timekeeping 5400 Receptionists and information clerks 5410 Reservation and transportation ticket agents and travel clerks 5420 Information and record clerks, all other 5500 Cargo and freight agents 5510 Couriers and messengers 5520 Dispatchers 5530 Meter readers, utilities 5540 Postal service clerks 5550 Postal service mail carriers 5560 Postal service mail sorters, processors, and processing machine operators 5600 Production, planning, and expediting clerks 5610 Shipping, receiving, and traffic clerks 5620 Stock clerks and order fillers 5630 Weighers, measurers, checkers, and samplers, recordkeeping 5700 Secretaries and administrative assistants 5800 Computer operators 5810 Data entry keyers 5820 Word processors and typists 5830 Desktop publishers 5840 Insurance claims and policy processing clerks 5850 Mail clerks and mail machine operators, except postal service 5860 Office clerks, general 5900 Office machine operators, except computer 5910 Proofreaders and copy markers 5920 Statistical assistants 5940 Office and administrative support workers, all other 6005 First-line supervisors of farming, fishing, and forestry workers 6010 Agricultural inspectors 6020 Animal breeders 6040 Graders and sorters, agricultural products 6050 Miscellaneous agricultural workers 6100 Fishers and related fishing workers 6110 Hunters and trappers 6120 Forest and conservation workers 6130 Logging workers 6200 First-line supervisors of construction trades and extraction workers 6210 Boilermakers 6220 Brickmasons, blockmasons, and stonemasons 6230 Carpenters 6240 Carpet, floor, and tile installers and finishers 6250 Cement masons, concrete finishers, and terrazzo workers 6260 Construction laborers 6300 Paving, surfacing, and tamping equipment operators 6310 Pile-driver operators 6320 Operating engineers and other construction equipment operators 6330 Drywall installers, ceiling tile installers, and tapers 6355 Electricians 6360 Glaziers 6400 Insulation workers 6420 Painters, construction and maintenance 6430 Paperhangers 6440 Pipelayers, plumbers, pipefitters, and steamfitters 6460 Plasterers and stucco masons 6500 Reinforcing iron and rebar workers 6515 Roofers 6520 Sheet metal workers 6530 Structural iron and steel workers 6540 Solar photovoltaic installers 6600 Helpers, construction trades 6660 Construction and building inspectors 6700 Elevator installers and repairers 6710 Fence erectors 6720 Hazardous materials removal workers 6730 Highway maintenance workers 6740 Rail-track laying and maintenance equipment operators 6750 Septic tank servicers and sewer pipe cleaners 6765 Miscellaneous construction and related workers 6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining 6820 Earth drillers, except oil and gas 6830 Explosives workers, ordnance handling experts, and blasters 6840 Mining machine operators 6910 Roof bolters, mining 6920 Roustabouts, oil and gas 6930 Helpers—extraction workers 6940 Other extraction workers 7000 First-line supervisors of mechanics, installers, and repairers 7010 Computer, automated teller, and office machine repairers 7020 Radio and telecommunications equipment installers and repairers 7030 Avionics technicians 7040 Electric motor, power tool, and related repairers 7050 Electrical and electronics installers and repairers, transportation 7100 Electrical and electronics repairers, industrial and utility 7110 Electronic equipment installers and repairers, motor vehicles 7120 Electronic home entertainment equipment installers and repairers 7130 Security and fire alarm systems installers 7140 Aircraft mechanics and service technicians 7150 Automotive body and related repairers 7160 Automotive glass installers and repairers 7200 Automotive service technicians and mechanics 7210 Bus and truck mechanics and diesel engine specialists 7220 Heavy vehicle and mobile equipment service technicians and mechanics 7240 Small engine mechanics 7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers 7300 Control and valve installers and repairers 7315 Heating, air conditioning, and refrigeration mechanics and installers 7320 Home appliance repairers 7330 Industrial and refractory machinery mechanics 7340 Maintenance and repair workers, general 7350 Maintenance workers, machinery 7360 Millwrights 7410 Electrical power-line installers and repairers 7420 Telecommunications line installers and repairers 7430 Precision instrument and equipment repairers 7440 Wind turbine service technicians 7510 Coin, vending, and amusement machine servicers and repairers 7520 Commercial divers 7540 Locksmiths and safe repairers 7550 Manufactured building and mobile home installers 7560 Riggers 7600 Signal and track switch repairers 7610 Helpers—installation, maintenance, and repair workers 7630 Other installation, maintenance, and repair workers 7700 First-line supervisors of production and operating workers 7710 Aircraft structure, surfaces, rigging, and systems assemblers 7720 Electrical, electronics, and electromechanical assemblers 7730 Engine and other machine assemblers 7740 Structural metal fabricators and fitters 7750 Miscellaneous assemblers and fabricators 7800 Bakers 7810 Butchers and other meat, poultry, and fish processing workers 7830 Food and tobacco roasting, baking, and drying machine operators and tenders 7840 Food batchmakers 7850 Food cooking machine operators and tenders 7855 Food processing workers, all other 7900 Computer control programmers and operators 7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic 7930 Forging machine setters, operators, and tenders, metal and plastic 7940 Rolling machine setters, operators, and tenders, metal and plastic 7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic 8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic 8020 Milling and planing machine setters, operators, and tenders, metal and plastic 8030 Machinists 8040 Metal furnace operators, tenders, pourers, and casters 8060 Model makers and patternmakers, metal and plastic 8100 Molders and molding machine setters, operators, and tenders, metal and plastic 8120 Multiple machine tool setters, operators, and tenders, metal and plastic 8130 Tool and die makers 8140 Welding, soldering, and brazing workers 8150 Heat treating equipment setters, operators, and tenders, metal and plastic 8160 Layout workers, metal and plastic 8200 Plating and coating machine setters, operators, and tenders, metal and plastic 8210 Tool grinders, filers, and sharpeners 8220 Metal workers and plastic workers, all other 8250 Prepress technicians and workers 8255 Printing press operators 8256 Print binding and finishing workers 8300 Laundry and dry-cleaning workers 8310 Pressers, textile, garment, and related materials 8320 Sewing machine operators 8330 Shoe and leather workers and repairers 8340 Shoe machine operators and tenders 8350 Tailors, dressmakers, and sewers 8360 Textile bleaching and dyeing machine operators and tenders 8400 Textile cutting machine setters, operators, and tenders 8410 Textile knitting and weaving machine setters, operators, and tenders 8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders 8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers 8440 Fabric and apparel patternmakers 8450 Upholsterers 8460 Textile, apparel, and furnishings workers, all other 8500 Cabinetmakers and bench carpenters 8510 Furniture finishers 8520 Model makers and patternmakers, wood 8530 Sawing machine setters, operators, and tenders, wood 8540 Woodworking machine setters, operators, and tenders, except sawing 8550 Woodworkers, all other 8600 Power plant operators, distributors, and dispatchers 8610 Stationary engineers and boiler operators 8620 Water and wastewater treatment plant and system operators 8630 Miscellaneous plant and system operators 8640 Chemical processing machine setters, operators, and tenders 8650 Crushing, grinding, polishing, mixing, and blending workers 8710 Cutting workers 8720 Extruding, forming, pressing, and compacting machine setters, 8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders 8740 Inspectors, testers, sorters, samplers, and weighers 8750 Jewelers and precious stone and metal workers 8760 Medical, dental, and ophthalmic laboratory technicians 8800 Packaging and filling machine operators and tenders 8810 Painting workers 8830 Photographic process workers and processing machine operators 8840 Semiconductor processors 8850 Adhesive bonding machine operators and tenders 8860 Cleaning, washing, and metal pickling equipment operators and tenders 8900 Cooling and freezing equipment operators and tenders 8910 Etchers and engravers 8920 Molders, shapers, and casters, except metal and plastic 8930 Paper goods machine setters, operators, and tenders 8940 Tire builders 8950 Helpers—production workers 8965 Production workers, all other 9000 Supervisors of transportation and material moving workers 9030 Aircraft pilots and flight engineers 9040 Air traffic controllers and airfield operations specialists 9050 Flight attendants 9110 Ambulance drivers and attendants, except emergency medical technicians 9120 Bus drivers 9130 Driver/sales workers and truck drivers 9140 Taxi drivers and chauffeurs 9150 Motor vehicle operators, all other 9200 Locomotive engineers and operators 9230 Railroad brake, signal, and switch operators 9240 Railroad conductors and yardmasters 9260 Subway, streetcar, and other rail transportation workers 9300 Sailors and marine oilers 9310 Ship and boat captains and operators 9330 Ship engineers 9340 Bridge and lock tenders 9350 Parking lot attendants 9360 Automotive and watercraft service attendants 9410 Transportation inspectors 9415 Transportation attendants, except flight attendants 9420 Other transportation workers 9500 Conveyor operators and tenders 9510 Crane and tower operators 9520 Dredge, excavating, and loading machine operators 9560 Hoist and winch operators 9600 Industrial truck and tractor operators 9610 Cleaners of vehicles and equipment 9620 Laborers and freight, stock, and material movers, hand 9630 Machine feeders and offbearers 9640 Packers and packagers, hand 9650 Pumping station operators 9720 Refuse and recyclable material collectors 9730 Mine shuttle car operators 9740 Tank car, truck, and ship loaders 9750 Material moving workers, all other 9800 Military officer special and tactical operations leaders 9810 First-line enlisted military supervisors 9820 Military enlisted tactical operations and air/weapons specialists and crew members 9830 Military, rank not specified 9997 Uncodeable 9998 DK 9999 NA	67
PAOCCINDV	Label: Father's occ/ind verbatim retrieved Format: F8.0 Measure: Scale Display Width: 11 Missing Values: -1 Value Label -1 IAP 0 No verbatims for pa 1 Verbatims for pa	68
PAOCCSTATUS	Label: PAOCC10 coding status Format: F8.0 Measure: Nominal Display Width: 13 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned	69
PAOCCTAG	Label: PAOCC10 coding tag Format: F8.0 Measure: Scale Display Width: 10 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	70
PAPRES10	Label: Father's occupational prestige score (2010) Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0 Value Label 0 IAP,DK,NA,uncodeable	71
PAPRES105PLUS	Label: Father's occupational prestige score using threshold method (2010) Format: F8.0 Measure: Scale Display Width: 15 Missing Values: 0 Value Label 0 IAP,DK,NA,uncodeable	72
PAIND10	Label: Father's industry code (NAICS 2007) Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 Not applicable 170 Crop production 180 Animal production 190 Forestry, except logging 270 Logging 280 Fishing, hunting, and trapping 290 Support activities for agriculture and forestry 370 Oil and gas extraction 380 Coal mining 390 Metal ore mining 470 Nonmetallic mineral mining and quarrying 480 Not specified type of mining 490 Support activities for mining 570 Electric power generation, transmission, and distribution 580 Natural gas distribution 590 Electric and gas, and other combinations 670 Water, steam, air-conditioning, and irrigation systems 680 Sewage treatment facilities 690 Not specified utilities 770 Construction 1070 Animal food, grain, and oilseed milling 1080 Sugar and confectionery products 1090 Fruit and vegetable preserving and specialty food manufacturing 1170 Dairy product manufacturing 1180 Animal slaughtering and processing 1190 Retail bakeries 1270 Bakeries, except retail 1280 Seafood and other miscellaneous foods, n.e.c. 1290 Not specified food industries 1370 Beverage manufacturing 1390 Tobacco manufacturing 1470 Fiber, yarn, and thread mills 1480 Fabric mills, except knitting mills 1490 Textile and fabric finishing and coating mills 1570 Carpet and rug mills 1590 Textile product mills, except carpet and rug 1670 Knitting fabric mills, and apparel knitting mills 1680 Cut and sew apparel manufacturing 1690 Apparel accessories and other apparel manufacturing 1770 Footwear manufacturing 1790 Leather tanning and finishing and other allied products manufacturing 1870 Pulp, paper, and paperboard mills 1880 Paperboard containers and boxes 1890 Miscellaneous paper and pulp products 1990 Printing and related support activities 2070 Petroleum refining 2090 Miscellaneous petroleum and coal products 2170 Resin, synthetic rubber and fibers, and filaments manufacturing 2180 Agricultural chemical manufacturing 2190 Pharmaceutical and medicine manufacturing 2270 Paint, coating, and adhesive manufacturing 2280 Soap, cleaning compound, and cosmetics manufacturing 2290 Industrial and miscellaneous chemicals 2370 Plastics product manufacturing 2380 Tire manufacturing 2390 Rubber product, except tire, manufacturing 2470 Pottery, ceramics, and plumbing fixture manufacturing 2480 Structural clay product manufacturing 2490 Glass and glass product manufacturing 2570 Cement, concrete, lime, and gypsum product manufacturing 2590 Miscellaneous nonmetallic mineral product manufacturing 2670 Iron and steel mills and steel product manufacturing 2680 Aluminum production and processing 2690 Nonferrous metal (except aluminum) production and processing 2770 Foundries 2780 Metal forgings and stampings 2790 Cutlery and hand tool manufacturing 2870 Structural metals, and boiler, tank, and shipping container manufacturing 2880 Machine shops; turned product; screw, nut, and bolt manufacturing 2890 Coating, engraving, heat treating and allied activities 2970 Ordnance 2980 Miscellaneous fabricated metal products manufacturing 2990 Not specified metal industries 3070 Agricultural implement manufacturing 3080 Construction, and mining and oil and gas field machinery manufacturing 3090 Commercial and service industry machinery manufacturing 3170 Metalworking machinery manufacturing 3180 Engines, turbines, and power transmission equipment manufacturing 3190 Machinery manufacturing, n.e.c. 3290 Not specified machinery manufacturing 3360 Computer and peripheral equipment manufacturing 3370 Communications, and audio and video equipment manufacturing 3380 Navigational, measuring, electromedical, and control instruments manufacturing 3390 Electronic component and product manufacturing, n.e.c. 3470 Household appliance manufacturing 3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c. 3570 Motor vehicles and motor vehicle equipment manufacturing 3580 Aircraft and parts manufacturing 3590 Aerospace product and parts manufacturing 3670 Railroad rolling stock manufacturing 3680 Ship and boat building 3690 Other transportation equipment manufacturing 3770 Sawmills and wood preservation 3780 Veneer, plywood, and engineered wood products 3790 Prefabricated wood buildings and mobile homes 3870 Miscellaneous wood products 3890 Furniture and related product manufacturing 3960 Medical equipment and supplies manufacturing 3970 Sporting and athletic goods, and doll, toy and game manufacturing 3980 Miscellaneous manufacturing, n.e.c. 3990 Not specified manufacturing industries 4070 Motor vehicles, parts and supplies, merchant wholesalers 4080 Furniture and home furnishing, merchant wholesalers 4090 Lumber and other construction materials, merchant wholesalers 4170 Professional and commercial equipment and supplies, merchant wholesalers 4180 Metals and minerals, except petroleum, merchant wholesalers 4190 Electrical and electronic goods, merchant wholesalers 4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers 4270 Machinery, equipment, and supplies, merchant wholesalers 4280 Recyclable material, merchant wholesalers 4290 Miscellaneous durable goods, merchant wholesalers 4370 Paper and paper products, merchant wholesalers 4380 Drugs, sundries, and chemical and allied products, merchant wholesalers 4390 Apparel, fabrics, and notions, merchant wholesalers 4470 Groceries and related products, merchant wholesalers 4480 Farm product raw materials, merchant wholesalers 4490 Petroleum and petroleum products, merchant wholesalers 4560 Alcoholic beverages, merchant wholesalers 4570 Farm supplies, merchant wholesalers 4580 Miscellaneous nondurable goods, merchant wholesalers 4585 Wholesale electronic markets, agents and brokers 4590 Not specified wholesale trade 4670 Automobile dealers 4680 Other motor vehicle dealers 4690 Auto parts, accessories, and tire stores 4770 Furniture and home furnishings stores 4780 Household appliance stores 4790 Radio, TV, and computer stores 4870 Building material and supplies dealers 4880 Hardware stores 4890 Lawn and garden equipment and supplies stores 4970 Grocery stores 4980 Specialty food stores 4990 Beer, wine, and liquor stores 5070 Pharmacies and drug stores 5080 Health and personal care, except drug, stores 5090 Gasoline stations 5170 Clothing stores 5180 Shoe stores 5190 Jewelry, luggage, and leather goods stores 5270 Sporting goods, camera, and hobby and toy stores 5280 Sewing, needlework, and piece goods stores 5290 Music stores 5370 Book stores and news dealers 5380 Department stores and discount stores 5390 Miscellaneous general merchandise stores 5470 Retail florists 5480 Office supplies and stationery stores 5490 Used merchandise stores 5570 Gift, novelty, and souvenir shops 5580 Miscellaneous retail stores 5590 Electronic shopping 5591 Electronic auctions 5592 Mail order houses 5670 Vending machine operators 5680 Fuel dealers 5690 Other direct selling establishments 5790 Not specified retail trade 6070 Air transportation 6080 Rail transportation 6090 Water transportation 6170 Truck transportation 6180 Bus service and urban transit 6190 Taxi and limousine service 6270 Pipeline transportation 6280 Scenic and sightseeing transportation 6290 Services incidental to transportation 6370 Postal Service 6380 Couriers and messengers 6390 Warehousing and storage 6470 Newspaper publishers 6480 Periodical, book, and directory publishers 6490 Software publishers 6570 Motion pictures and video industries 6590 Sound recording industries 6670 Radio and television broadcasting and cable subscription programming 6672 Internet publishing and broadcasting and web search portals 6680 Wired telecommunications carriers 6690 Other telecommunications services 6695 Data processing, hosting, and related services 6770 Libraries and archives 6780 Other information services 6870 Banking and related activities 6880 Savings institutions, including credit unions 6890 Non-depository credit and related activities 6970 Securities, commodities, funds, trusts, and other financial investments 6990 Insurance carriers and related activities 7070 Real estate 7080 Automotive equipment rental and leasing 7170 Video tape and disk rental 7180 Other consumer goods rental 7190 Commercial, industrial, and other intangible assets rental and leasing 7270 Legal services 7280 Accounting, tax preparation, bookkeeping, and payroll services 7290 Architectural, engineering, and related services 7370 Specialized design services 7380 Computer systems design and related services 7390 Management, scientific, and technical consulting services 7460 Scientific research and development services 7470 Advertising and related services 7480 Veterinary services 7490 Other professional, scientific, and technical services 7570 Management of companies and enterprises 7580 Employment services 7590 Business support services 7670 Travel arrangements and reservation services 7680 Investigation and security services 7690 Services to buildings and dwellings 7770 Landscaping services 7780 Other administrative and other support services 7790 Waste management and remediation services 7860 Elementary and secondary schools 7870 Colleges and universities, including junior colleges 7880 Business, technical, and trade schools and training 7890 Other schools and instruction, and educational support services 7970 Offices of physicians 7980 Offices of dentists 7990 Offices of chiropractors 8070 Offices of optometrists 8080 Offices of other health practitioners 8090 Outpatient care centers 8170 Home health care services 8180 Other health care services 8190 Hospitals 8270 Nursing care facilities 8290 Residential care facilities, without nursing 8370 Individual and family services 8380 Community food and housing, and emergency services 8390 Vocational rehabilitation services 8470 Child day care services 8560 Independent artists, performing arts, spectator sports, and related industries 8570 Museums, art galleries, historical sites, and similar institutions 8580 Bowling centers 8590 Other amusement, gambling, and recreation industries 8660 Traveler accommodation 8670 Recreational vehicle parks and camps, and rooming and boarding houses 8680 Restaurants and other food services 8690 Drinking places, alcoholic beverages 8770 Automotive repair and maintenance 8780 Car washes 8790 Electronic and precision equipment repair and maintenance 8870 Commercial and industrial machinery and equipment repair and maintenance 8880 Personal and household goods repair and maintenance 8890 Footwear and leather goods repair 8970 Barber shops 8980 Beauty salons 8990 Nail salons and other personal care services 9070 Drycleaning and laundry services 9080 Funeral homes, and cemeteries and crematories 9090 Other personal services 9160 Religious organizations 9170 Civic, social, advocacy organizations, and grantmaking and giving services 9180 Labor unions 9190 Business, professional, political, and similar organizations 9290 Private households 9370 Executive offices and legislative bodies 9380 Public finance activities 9390 Other general government and support 9470 Justice, public order, and safety activities 9480 Administration of human resource programs 9490 Administration of environmental quality and housing programs 9570 Administration of economic programs and space research 9590 National security and international affairs 9670 U.S. Army 9680 U.S. Air Force 9690 U.S. Navy 9770 U.S. Marine Corps 9780 U.S. Coast Guard 9790 U.S. Armed Forces/n.s. 9870 Active duty military personnel, all other 9997 Uncodeable 9999 No answer	73
PAINDSTATUS	Label: PAIND10 coding status Format: F8.0 Measure: Nominal Display Width: 13 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned	74
PAINDTAG	Label: PAIND10 coding tag Format: F8.0 Measure: Scale Display Width: 10 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	75
MAOCC80	Label: Mothers census occupation code (1980) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 3 Legislators 4 Chief Executives and General Admin., Public Admin 5 Administrators and Officials, Public Administration 6 Administrators, Protective Service 7 Financial Managers 8 Personnel and Labor Relations Managers 9 Purchasing Managers 13 Managers, Marketing, Advertising, and Public Relations 14 Administrators, Education and Related Fields 15 Managers, Medicine and Health 16 Managers, Properties and Real Estate 17 Postmasters and Mail Superintendents 18 Funeral Directors 19 Managers and Administrators, n.e.c. 23 Accountants and Auditors 24 Underwriters 25 Other Financial Officers 26 Management Analysts 27 Personnel, Training, and Labor Relations Specialists 28 Purchasing Agents and Buyers, Farm Products 29 Buyers, Wholesale and Retail Trade Except Farm Products 33 Purchasing Agents and Buyers 34 Business and Promotion Agents 35 Construction Inspectors 36 Inspectors/Compliance Officers, Except Construction 37 Management Related Occupations, n.e.c. 43 Architects 44 Aerospace Engineers 45 Metallurgical and Materials Engineers 46 Mining Engineers 47 Petroleum Engineers 48 Chemical Engineers 49 Nuclear Engineers 53 Civil Engineers 54 Agricultural Engineers 55 Electrical and Electronic Engineers 56 Industrial Engineers 57 Mechanical Engineers 58 Marine and Naval Architects 59 Engineers, n.e.c. 63 Surveyors and Mapping Scientists 64 Computer Systems Analysts and Scientists 65 Operations and Systems Researchers and Analysts 66 Actuaries 67 Statisticians 68 Mathematical Scientists, n.e.c. 69 Physicists and Astronomers 73 Chemists, Except Biochemists 74 Atmospheric and Space Scientists 75 Geologists and Geodesists 76 Physical Scientists, n.e.c. 77 Agricultural and Food Scientists 78 Biological and Life Scientists 79 Forestry and Conservation Scientists 83 Medical Scientists 84 Physicians 85 Dentists 86 Veterinarians 87 Optometrists 88 Podiatrists 89 Health Diagnosing Practitioners, n.e.c. 95 Registered Nurses 96 Pharmacists 97 Dietitians 98 Inhalation Therapists 99 Occupational Therapists 103 Physical Therapists 104 Speech Therapists 105 Therapists, n.e.c. 106 Physicians' Assistants 113 Earth, Environmental, and Marine Science Teachers 114 Biological Science Teachers 115 Chemistry Teachers 116 Physics Teachers 117 Natural Science Teachers, n.e.c. 118 Psychology Teachers 119 Economics Teachers 123 History Teachers 124 Political Science Teachers 125 Sociology Teachers 126 Social Science Teachers, n.e.c. 127 Engineering Teachers 128 Mathematical Science Teachers 129 Computer Science Teachers 133 Medical Science Teachers 134 Health Specialties Teachers 135 Business, Commerce, and Marketing Teachers 136 Agriculture and Forestry Teachers 137 Art, Drama, and Music Teachers 138 Physical Education Teachers 139 Education Teachers 143 English Teachers 144 Foreign Language Teachers 145 Law Teachers 146 Social Work Teachers 147 Theology Teachers 148 Trade and Industrial Teachers 149 Home Economics Teachers 153 Teachers, Postsecondary, n.e.c. 154 Postsecondary Teachers, Subject Not Specified 155 Teachers, Prekindergarten and Kindergarten 156 Teachers, Elementary School 157 Teachers, Secondary School 158 Teachers, Special Education 159 Teachers, n.e.c. 163 Counselors, Educational and Vocational 164 Librarians 165 Archivists and Curators 166 Economists 167 Psychologists 168 Sociologists 169 Social Scientists, n.e.c. 173 Urban Planners 174 Social Workers 175 Recreation Workers 176 Clergy 177 Religious Workers, n.e.c. 178 Lawyers 179 Judges 183 Authors 184 Technical Writers 185 Designers 186 Musicians and Composers 187 Actors and Directors 188 Painters, Sculptors, Craft-Artists, and Printmakers 189 Photographers 193 Dancers 194 Artists, Performers, and Related Workers, n.e.c. 195 Editors and Reporters 197 Public Relations Specialists 198 Announcers 199 Athletes 203 Clinical Laboratory Technologists and Technicians 204 Dental Hygienists 205 Health Record Technologists and Technicians 206 Radiologic Technicians 207 Licensed Practical Nurses 208 Health Technologists and Technicians, n.e.c. 213 Electrical and Electronic Technicians 214 Industrial Engineering Technicians 215 Mechanical Engineering Technicians 216 Engineering Technicians, n.e.c. 217 Drafting Occupations 218 Surveying and Mapping Technicians 223 Biological Technicians 224 Chemical Technicians 225 Science Technicians, n.e.c. 226 Airplane Pilots and Navigators 227 Air Traffic Controllers 228 Broadcast Equipment Operators 229 Computer Programmers 233 Tool Programmers, Numerical Control 234 Legal Assistants 235 Technicians, n.e.c. 243 Supervisors and Proprietors, Sales Occupations 253 Insurance Sales Occupations 254 Real Estate Sales Occupations 255 Securities and Financial Services Sales Occupations 256 Advertising and Related Sales Occupations 257 Sales Occupations, Other Business Services 258 Sales Engineers 259 Sales Rep., Mining, Manufacturing, and Wholesale 263 Sales Workers, Motor Vehicles and Boats 264 Sales Workers, Apparel 265 Sales Workers, Shoes 266 Sales Workers, Furniture and Home Furnishings 267 Sales Workers, Radio, TV, Hi-Fi, and Appliances 268 Sales Workers, Hardware and Building Supplies 269 Sales Workers, Parts 274 Sales Workers, Other Commodities 275 Sales Counter Clerks 276 Cashiers 277 Street and Door-To-Door Sales Workers 278 News Vendors 283 Demonstrators, Promoters and Models, Sales 284 Auctioneers 285 Sales Support Occupations, n.e.c. 303 Supervisors, General Office 304 Supervisors, Computer Equipment Operators 305 Supervisors, Financial Records Processing 306 Chief Communications Operators 307 Supervisors, Distribution, Scheduling, and Adjusting Clerks 308 Computer Operators 309 Peripheral Equipment Operators 313 Secretaries 314 Stenographers 315 Typists 316 Interviewers 317 Hotel Clerks 318 Transportation Ticket and Reservation Agents 319 Receptionists 323 Information Clerks, n.e.c. 325 Classified-Ad Clerks 326 Correspondence Clerks 327 Order Clerks 328 Personnel Clerks, Except Payroll and Timekeeping 329 Library Clerks 335 File Clerks 336 Records Clerks 337 Bookkeepers, Accounting and Auditing Clerks 338 Payroll and Timekeeping Clerks 339 Billing Clerks 343 Cost and Rate Clerks 344 Billing, Posting, and Calculating Machine Operators 345 Duplicating Machine Operators 346 Mail Preparing and Paper Handling Machine Operators 347 Office Machine Operators, n.e.c. 348 Telephone Operators 349 Telegraphers 353 Communications Equipment Operators, n.e.c. 354 Postal Clerks, Excluding Mail Carriers 355 Mail Carriers, Postal Service 356 Mail Clerks, Excluding Postal Service 357 Messengers 359 Dispatchers 363 Production Coordinators 364 Traffic, Shipping and Receiving Clerks 365 Stock and Inventory Clerks 366 Meter Readers 368 Weighers, Measurers, and Checkers 369 Samplers 373 Expediters 374 Material Recording, Scheduling and Distributing Clerks, n.e.c. 375 Insurance Adjusters, Examiners, and Investigators 376 Investigators and Adjusters, Except Insurance 377 Eligibility Clerks, Social Welfare 378 Bill and Account Collectors 379 General Office Clerks 383 Bank Tellers 384 Proofreaders 385 Data-Entry Keyers 386 Statistical Clerks 387 Teachers' Aides 389 Administrative Support Occupations, n.e.c. 403 Launderers and Ironers 404 Cooks, Private Household 405 Housekeepers and Butlers 406 Child Care Workers, Private Household 407 Private Household Cleaners and Servants 413 Supervisors, Firefighting and Fire Prevention Occupations 414 Supervisors, Police and Detectives 415 Supervisors, Guards 416 Fire Inspection and Fire Prevention Occupations 417 Firefighting Occupations 418 Police and Detectives, Public Service 423 Sheriffs, Bailiffs, and Other Law Enforcement Officers 424 Correctional Institution Officers 425 Crossing Guards 426 Guards and Police, Excluding Public Service 427 Protective Service Occupations 430 Former Member of the Armed Forces 431 Current Member of the Armed Forces 433 Supervisors, Food Preparation and Service Occupations 434 Bartenders 435 Waiters and Waitresses 436 Cooks, Except Short Order 437 Short-Order Cooks 438 Food Counter, Fountain and Related Occupations 439 Kitchen Workers, Food Preparation 443 Waiters'/Waitresses' Assistants 444 Miscellaneous Food Preparation Occupations 445 Dental Assistants 446 Health Aids, Except Nursing 447 Nursing Aides, Orderlies and Attendants 448 Supervisors, Cleaning and Building Service Workers 449 Maids and Housemen 453 Janitors and Cleaners 454 Elevator Operators 455 Pest Control Occupations 456 Supervisors, Personal Service Occupations 457 Barbers 458 Hairdressers and Cosmetologists 459 Attendants, Amusement and Recreation Facilities 463 Guides 464 Ushers 465 Public Transportation Attendants 466 Baggage Porters and Bellhops 467 Welfare Service Aides 468 Child Care Workers, Except Private Household 469 Personal Service Occupations, n.e.c. 473 Farmers, Except Horticultural 474 Horticultural Specialty Farmers 475 Managers, Farms, Except Horticultural 476 Managers, Horticultural Specialty Farms 477 Supervisors, Farm Workers 479 Farm Workers 483 Marine Life Cultivation Workers 484 Nursery Workers 485 Supervisors, Related Agricultural Occupations 486 Groundskeepers and Gardeners, Except Farm 487 Animal Caretakers, Except Farm 488 Graders and Sorters, Agricultural Products 489 Inspectors, Agricultural Products 494 Supervisors, Forestry and Logging Workers 495 Forestry Workers, Except Logging 496 Timber Cutting and Logging Occupations 497 Captains and Other Officers, Fishing Vessels 498 Fishers 499 Hunters and Trappers 503 Supervisors, Mechanics and Repairers 505 Automobile Mechanics, Except Apprentices 506 Automobile Mechanic Apprentices 507 Bus, Truck, and Stationary Engine Mechanics 508 Aircraft Engine Mechanics 509 Small Engine Repairers 514 Automobile Body and Related Repairers 515 Aircraft Mechanics, Excluding Engine 516 Heavy Equipment Mechanics 517 Farm Equipment Mechanics 518 Industrial Machinery Repairers 519 Machinery Maintenance Occupations 523 Electronic Repairers, Communications and Industrial Equipment 525 Data Processing Equipment Repairers 526 Household Appliance and Power Tool Repairers 527 Telephone Line Installers and Repairers 529 Telephone Installers and Repairers 533 Misc. Electrical and Electronic Equipment Repairers 534 Heating, Air Conditioning, and Refrigeration Mechanics 535 Camera, Watch, and Musical Instrument Repairers 536 Locksmiths and Safe Repairers 538 Office Machine Repairers 539 Mechanical Controls and Valve Repairers 543 Elevator Installers and Repairers 544 Millwrights 547 Specified Mechanics and Repairers, n.e.c. 549 Not Specified Mechanics and Repairers 553 Supervisors, Brickmasons, Stonemasons, and Title Setters 554 Supervisors, Carpenters and Related Work 555 Supervisors, Electricians and Power Transmission Installers 556 Supervisors, Painters, Paperhangers, and Plasterers 557 Supervisors, Plumbers, Pipefitters, and Steamfitters 558 Supervisors, n.e.c. 563 Brickmasons and Stonemasons, Except Apprentices 564 Brickmasons and Stonemasons Apprentices 565 Tile Setters, Hard and Soft 566 Carpet Installers 567 Carpenters, Except Apprentices 569 Carpenter Apprentices 573 Drywall Installers 575 Electricians, Except Apprentices 576 Electrician Apprentices 577 Electrical Power Installers and Repairers 579 Painters, Construction and Maintenance 583 Paperhangers 584 Plasterers 585 Plumbers, Pipefitters, and Steamfitters, Except Apprentices 587 Plumber, Pipefitter, and Steamfitter Apprentices 588 Concrete and Terrazzo Finishers 589 Glaziers 593 Insulation Workers 594 Paving, Surfacing, and Tamping Equipment Operators 595 Roofers 596 Sheetmetal Duct Installers 597 Structural Metal Workers 598 Drillers, Earth 599 Construction Trades, n.e.c. 613 Supervisors, Extractive Occupations 614 Drillers, Oil Well 615 Explosives Workers 616 Mining Machine Operators 617 Mining Occupations, n.e.c. 633 Supervisors, Production Occupations 634 Tool and Die Makers, Except Apprentices 635 Tool and Die Maker Apprentices 636 Precision Assemblers, Metal 637 Machinists, Except Apprentices 639 Machinist Apprentices 643 Boilermakers 644 Precision Grinders, Fitters, and Tool Sharpeners 645 Patternmakers and Model Makers, Metal 646 Lay-Out Workers 647 Precious Stones and Metals Workers 649 Engravers, Metal 653 Sheet Metal Workers, Except Apprentices 654 Sheet Metal Worker, Apprentices 655 Miscellaneous Precision Metal Workers 656 Patternmakers and Model Makers, Wood 657 Cabinet Makers and Bench Carpenters 658 Furniture and Wood Finishers 659 Miscellaneous Precision Woodworkers 666 Dressmakers 667 Tailors 668 Upholsterers 669 Shoe Repairers 673 Apparel and Fabric Patternmakers 674 Miscellaneous Precision Apparel and Fabric Workers 675 Hand Molders and Shapers, Except Jewelers 676 Patternmakers, Lay-Out Workers, and Cutters 677 Optical Goods Workers 678 Dental Laboratory and Medical Appliance Technicians 679 Bookbinders 683 Electrical and Electronic Equipment Assemblers 684 Miscellaneous Precision Workers, n.e.c. 686 Butchers and Meat Cutters 687 Bakers 688 Food Batchmakers 689 Inspectors, Testers, and Graders 693 Adjusters and Calibrators 694 Water and Sewage Treatment Plant Operators 695 Power Plant Operators 696 Stationary Engineers 699 Miscellaneous Plant and System Operators 703 Lathe and Turning Machine Set-Up Operators 704 Lathe and Turning Machine Operators 705 Milling and Planing Machine Operators 706 Punching and Stamping Press Machine Operators 707 Rolling Machine Operators 708 Drilling and Boring Machine Operators 709 Grinding, Abrading, Buffing, and Polishing Machine Operators 713 Forging Machine Operators 714 Numerical control machine operators 715 Miscellaneous Metal, Plastic, Stone, and Glass Working Machine Operators 717 Fabricating Machine Operators, n.e.c. 719 Molding and Casting Machine Operators 723 Metal Plating Machine Operators 724 Heat Treating Equipment Operators 725 Miscellaneous Metal and Plastic Processing Machine Operators 726 Wood Lathe, Routing and Planing Machine Operators 727 Sawing Machine Operators 728 Shaping and Joining Machine Operators 729 Nailing and Tacking Machine Operators 733 Miscellaneous Woodworking Machine Operators 734 Printing Machine Operators 735 Photoengravers and Lithographers 736 Typesetters and Compositors 737 Miscellaneous Printing Machine Operators 738 Winding and Twisting Machine Operators 739 Knitting, Looping, Taping, and Weaving Machine Operators 743 Textile Cutting Machine Operators 744 Textile Sewing Machine Operators 745 Shoe Machine Operators 747 Pressing Machine Operators 748 Laundering and Dry Cleaning Machine Operators 749 Miscellaneous Textile Machine Operators 753 Cementing and Gluing Machine Operators 754 Packaging and Filling Machine Operators 755 Extruding and Forming Machine Operators 756 Mixing and Blending Machine Operators 757 Separating, Filtering, and Clarifying Machine Operators 758 Compressing and Compacting Machine Operators 759 Painting and Paint Spraying Machine Operators 763 Roasting and Baking Machine Operators, Food 764 Washing, Cleaning, and Pickling Machine Operators 765 Folding Machine Operators 766 Furnace, Kiln, and Oven Operators, Except Food 768 Crushing and Grinding Machine Operators 769 Slicing and Cutting Machine Operators 773 Motion Picture Projectionists 774 Photographic Process Machine Operators 777 Miscellaneous and Not Specified Machine Operators, n.e.c. 779 Machine Operators, Not Specified 783 Welders and Cutters 784 Solderers and Blazers 785 Assemblers 786 Hand Cutting and Trimming Occupations 787 Hand Molding, Casting, and Forming Occupations 789 Hand Painting,Coating, and Decorating Occupations 793 Hand Engraving and Printing Occupations 794 Hand Grinding and Polishing Occupations 795 Miscellaneous Hand Working Occupations 796 Production Inspectors, Checkers, and Examiners 797 Production Testers 798 Production Samplers and Weighers 799 Graders and Sorters, Except Agricultural 803 Supervisors, Motor Vehicle Operators 804 Truck Drivers, Heavy 805 Truck Drivers, Light 806 Driver-Sales Workers 808 Bus Drivers 809 Taxicab Drivers and Chauffeurs 813 Parking Lot Attendants 814 Motor Transportation Occupations, n.e.c. 823 Railroad Conductors and Yardmasters 824 Locomotive Operating Occupations 825 Railroad Brake, Signal, and Switch Operators 826 Rail Vehicle Operators, n.e.c. 828 Ship Captains and Mates, Except Fishing Boats 829 Sailors and Deckhands 833 Marine Engineers 834 Bridge, Lock and Lighthouse Tenders 843 Supervisors, Material Moving Equipment Operators 844 Operating Engineers 845 Longshore Equipment Operators 848 Hoist and Winch Operators 849 Crane and Tower Operators 853 Excavating and Loading Machine Operators 855 Grader, Dozer, and Scraper Operators 856 Industrial Truck and Tractor Equipment Operators 859 Miscellaneous Material Moving Equipment Operators 863 Handlers, Equipment Cleaners, Helpers, and Laborers, n.e.c. 864 Helpers, Mechanics and Repairers 865 Helpers, Construction Trades 866 Helpers, Surveyor 867 Helpers, Extractive Occupations 869 Construction Laborers 873 Production Helpers 875 Garbage Collectors 876 Stevedores 877 Stock Handlers and Baggers 878 Machine Feeders and Offbearers 883 Freight, Stock, and Material Handlers, n.e.c. 885 Garage and Service Station Related Occupations 887 Vehicle Washers and Equipment Cleaners 888 Hand Packers and Packagers 889 Laborers, Except Construction 998 DK 999 NA	76
MAPRES80	Label: Mothers occupational prestige score (1980) Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	77
MAWRKSLF	Label: Mother self-emp. or worked for somebody Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 8 DK 9 NA	78
MAIND80	Label: Mothers industry code (1980) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 10 Agricultural production, crops 11 Agricultural production, livestock 20 Agricultural services, except horticultural 21 Horticultural services 30 Forestry 31 Fishing, hunting, and trapping, etc. 40 Metal mining 41 Coal mining 42 Crude petroleum and natural gas extraction 50 Nonmetallic mining and quarrying, except fuel 60 CONSTRUCTION 100 Meat products 101 Dairy products 102 Canned and preserved fruits and vegetables 110 Grain mill products 111 Bakery products 112 Sugar and confectionery products 120 Beverage industries 121 Miscellaneous food preparations and kindred products 122 Not specified food industries 130 Tobacco manufactures 132 Knitting mills 140 Dyeing and finishing textiles, except wool and knit goods 141 Floor coverings, except hard surface 142 Yarn, thread, and fabric mills 150 Miscellaneous textile mill products 151 Apparel and accessories, except knit 152 Miscellaneous fabricated textile products 160 Pulp, paper, and paperboard mills 161 Miscellaneous paper and pulp products 162 Paperboard containers and boxes 171 Newspaper publishing and printing 172 Printing, publishing, and allied industries, except newspapers 180 Plastics, synthetics, and resins 181 Drugs 182 Soaps and cosmetics 185 Paints, varnishes, and related products 190 Agricultural chemicals 191 Industrial and miscellaneous chemicals 192 Petroleum and coal products 200 Petroleum refining 201 Miscellaneous petroleum and coal products 210 Tires and inner tubes 211 Other rubber products, and plastics footwear and belting 212 Miscellaneous plastics products 220 Leather tanning and finishing 221 Footwear, except rubber and plastic 222 Leather products, except footwear 230 Logging 231 Sawmills, planning mills, and millwork 232 Wood buildings and mobile homes 241 Miscellaneous wood products 242 Furniture and fixtures 250 Glass and glass products 251 Cement, concrete, gypsum, and plaster products 252 Structural clay products 261 Pottery and related products 262 Miscellaneous nonmetallic mineral and stone products 270 Blast furnaces, steelworks, rolling and finishing mills 271 Iron and steel foundries 272 Primary aluminum industries 280 Other primary metal industries 281 Cutlery, hand tools, and other hardware 282 Fabricated structural metal products 290 Screw machine products 291 Metal forgings and stampings 292 Ordnance 300 Miscellaneous fabricated metal products 301 Not specified metal industries 310 Engines and turbines 311 Farm machinery and equipment 312 Construction and material handling machines 320 Metalworking machinery 321 Office and accounting machines 322 Electronic computing equipment 331 Machinery, except electrical, n.e.c. 332 Not specified machinery 340 Household appliances 341 Radio, TV, and communication equipment 342 Electrical machinery, equipment, and supplies, n.e.c. 350 Not specified electrical machinery, equipment, and supplies 351 Motor vehicles and motor vehicle equipment 352 Aircraft and parts 360 Ship and boat building and repairing 361 Railroad locomotives and equipment 362 Guided missiles, space vehicles, and parts 370 Cycles and miscellaneous transportation equipment 371 Scientific and controlling instruments 372 Optical and health services supplies 380 Photographic equipment and supplies 381 Watches, clocks, and clockwork operated devices 382 Not specified professional equipment 390 Toys, amusement, and sporting goods 391 Miscellaneous manufacturing industries 392 Not specified manufacturing industries 400 Railroads 401 Bus service and urban transit 402 Taxicab service 410 Trucking service 411 Warehousing and storage 412 U.S. Postal Service 420 Water transportation 421 Air transportation 422 Pipe lines, except natural gas 432 Services incidental to transportation 440 Radio and television broadcasting 441 Telephone (wire and radio) 442 Telegraph and miscellaneous communication service 460 Electric light and power 461 Gas and steam supply systems 462 Electric and gas, and other combinations 470 Water supply and irrigation 471 Sanitary services 472 Not specified utilities 500 Motor vehicles and equipment 501 Furniture and home furnishings 502 Lumber and construction materials 510 Sporting goods, toys, and hobby goods 511 Metals and minerals, except petroleum 512 Electrical goods 521 Hardware, plumbing and heating supplies 522 Not specified electrical and hardware products 530 Machinery, equipment, and supplies 531 Scrap and waste materials 532 Miscellaneous wholesale, durable goods 540 Paper and paper products 541 Drugs, chemicals, and allied products 542 Apparel, fabrics, and notions 550 Groceries and related products 551 Farm products-raw materials 552 Petroleum products 560 Alcoholic beverages 561 Farm supplies 562 Miscellaneous wholesale, nondurable goods 571 Not specified wholesale trade 580 Lumber and building material retailing 581 Hardware stores 582 Retail nurseries and garden stores 590 Mobile home dealers 591 Department stores 592 Variety stores 600 Miscellaneous general merchandise stores 601 Grocery stores 602 Dairy products stores 610 Retail bakeries 611 Food stores, n.e.c. 612 Motor vehicle dealers 620 Auto and home supply stores 621 Gasoline service stations 622 Miscellaneous vehicle dealers 630 Apparel and accessory stores, except shoe 631 Shoe stores 632 Furniture and home furnishings stores 640 Household appliances, TV, and radio stores 641 Eating and drinking places 642 Drug stores 650 Liquor stores 651 Sporting goods, bicycles, and hobby stores 652 Book and stationery stores 660 Jewelry stores 661 Sewing, needlework, and piece goods stores 662 Mail order houses 670 Vending machine operators 671 Direct selling establishments 672 Fuel and ice dealers 681 Retail florists 682 Miscellaneous retail stores 691 Not specified retail trade 700 Banking 701 Savings and loan associations 702 Credit agencies, n.e.c. 710 Security, commodity brokerage, and investment companies 711 Insurance 712 Real estate, including real estate-insurance-law offices 721 Advertising 722 Services to dwellings and other buildings 730 Commercial research, development, and testing labs 731 Personnel supply services 732 Business management and consulting services 740 Computer and data processing services 741 Detective and protective services 742 Business services, n.e.c. 750 Automotive services, except repair 751 Automotive repair shops 752 Electrical repair shops 760 Miscellaneous repair services 761 Private households 762 Hotels and motels 770 Lodging places, except hotels and motels 771 Laundry, cleaning, and garment services 772 Beauty shops 780 Barber shops 781 Funeral service and crematories 782 Shoe repair shops 790 Dressmaking shops 791 Miscellaneous personal services 800 Theaters and motion pictures 801 Bowling alleys, billiard and pool parlors 802 Miscellaneous entertainment and recreation services 812 Offices of physicians 820 Offices of dentists 821 Offices of chiropractors 822 Offices of optometrists 830 Offices of health practitioners, n.e.c. 831 Hospitals 832 Nursing and personal care facilities 840 Health services, n.e.c. 841 Legal services 842 Elementary and secondary schools 850 Colleges and universities 851 Business, trade, and vocational schools 852 Libraries 860 Educational services, n.e.c. 861 Job training and vocational rehabilitation services 862 Child day care services 870 Residential care facilities, without nursing 871 Social services, n.e.c. 872 Museums, art galleries and zoos 880 Religious organizations 881 Membership organizations 882 Engineering, architectural, and surveying services 890 Accounting, auditing, and bookkeeping services 891 Noncommercial educational and scientific research 892 Miscellaneous professional and related services 900 Executive and legislative offices 901 General government, n.e.c. 910 Justice, public order, and safety 921 Public finance, taxation, and monetary policy 922 Administration of human resources programs 930 Administration of environmental quality and household programs 931 Administration of economic programs 932 National security and international affairs 998 DK 999 NA	79
MAOCC10	Label: Mothers census occupation code (2010) Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 10 Chief executives 20 General and operations managers 30 Legislators 40 Advertising and promotions managers 50 Marketing and sales managers 60 Public relations and fundraising managers 100 Administrative services managers 110 Computer and information systems managers 120 Financial managers 135 Compensation and benefits managers 136 Human resources managers 137 Training and development managers 140 Industrial production managers 150 Purchasing managers 160 Transportation, storage, and distribution managers 205 Farmers, ranchers, and other agricultural managers 220 Construction managers 230 Education administrators 300 Architectural and engineering managers 310 Food service managers 325 Funeral service managers 330 Gaming managers 340 Lodging managers 350 Medical and health services managers 360 Natural sciences managers 400 Postmasters and mail superintendents 410 Property, real estate, and community association managers 420 Social and community service managers 425 Emergency management directors 430 Managers, all other 500 Agents and business managers of artists, performers, 510 Buyers and purchasing agents, farm products 520 Wholesale and retail buyers, except farm products 530 Purchasing agents, except wholesale, retail, and farm products 540 Claims adjusters, appraisers, examiners, and investigators 565 Compliance officers 600 Cost estimators 630 Human resources workers 640 Compensation, benefits, and job analysis specialists 650 Training and development specialists 700 Logisticians 710 Management analysts 725 Meeting, convention, and event planners 726 Fundraisers 735 Market research analysts and marketing specialists 740 Business operations specialists, all other 800 Accountants and auditors 810 Appraisers and assessors of real estate 820 Budget analysts 830 Credit analysts 840 Financial analysts 850 Personal financial advisors 860 Insurance underwriters 900 Financial examiners 910 Credit counselors and loan officers 930 Tax examiners and collectors, and revenue agents 940 Tax preparers 950 Financial specialists, all other 1005 Computer and information research scientists 1006 Computer systems analysts 1007 Information security analysts 1010 Computer programmers 1020 Software developers, applications and systems software 1030 Web developers 1050 Computer support specialists 1060 Database administrators 1105 Network and computer systems administrators 1106 Computer network architects 1107 Computer occupations, all other 1200 Actuaries 1210 Mathematicians 1220 Operations research analysts 1230 Statisticians 1240 Miscellaneous mathematical science occupations 1300 Architects, except naval 1310 Surveyors, cartographers, and photogrammetrists 1320 Aerospace engineers 1330 Agricultural engineers 1340 Biomedical engineers 1350 Chemical engineers 1360 Civil engineers 1400 Computer hardware engineers 1410 Electrical and electronics engineers 1420 Environmental engineers 1430 Industrial engineers, including health and safety 1440 Marine engineers and naval architects 1450 Materials engineers 1460 Mechanical engineers 1500 Mining and geological engineers, including mining safety engineers 1510 Nuclear engineers 1520 Petroleum engineers 1530 Engineers, all other 1540 Drafters 1550 Engineering technicians, except drafters 1560 Surveying and mapping technicians 1600 Agricultural and food scientists 1610 Biological scientists 1640 Conservation scientists and foresters 1650 Medical scientists 1660 Life scientists, all other 1700 Astronomers and physicists 1710 Atmospheric and space scientists 1720 Chemists and materials scientists 1740 Environmental scientists and geoscientists 1760 Physical scientists, all other 1800 Economists 1815 Survey researchers 1820 Psychologists 1830 Sociologists 1840 Urban and regional planners 1860 Miscellaneous social scientists and related workers 1900 Agricultural and food science technicians 1910 Biological technicians 1920 Chemical technicians 1930 Geological and petroleum technicians 1940 Nuclear technicians 1950 Social science research assistants 1965 Miscellaneous life, physical, and social science technicians 2000 Counselors 2010 Social workers 2015 Probation officers and correctional treatment specialists 2016 Social and human service assistants 2025 Miscellaneous community and social service specialists, 2040 Clergy 2050 Directors, religious activities and education 2060 Religious workers, all other 2100 Lawyers 2105 Judicial law clerks 2110 Judges, magistrates, and other judicial workers 2145 Paralegals and legal assistants 2160 Miscellaneous legal support workers 2200 Postsecondary teachers 2300 Preschool and kindergarten teachers 2310 Elementary and middle school teachers 2320 Secondary school teachers 2330 Special education teachers 2340 Other teachers and instructors 2400 Archivists, curators, and museum technicians 2430 Librarians 2440 Library technicians 2540 Teacher assistants 2550 Other education, training, and library workers 2600 Artists and related workers 2630 Designers 2700 Actors 2710 Producers and directors 2720 Athletes, coaches, umpires, and related workers 2740 Dancers and choreographers 2750 Musicians, singers, and related workers 2760 Entertainers and performers, sports and related workers, all other 2800 Announcers 2810 News analysts, reporters and correspondents 2825 Public relations specialists 2830 Editors 2840 Technical writers 2850 Writers and authors 2860 Miscellaneous media and communication workers 2900 Broadcast and sound engineering technicians and radio 2910 Photographers 2920 Television, video, and motion picture camera operators and 2960 Media and communication equipment workers, all other 3000 Chiropractors 3010 Dentists 3030 Dietitians and nutritionists 3040 Optometrists 3050 Pharmacists 3060 Physicians and surgeons 3110 Physician assistants 3120 Podiatrists 3140 Audiologists 3150 Occupational therapists 3160 Physical therapists 3200 Radiation therapists 3210 Recreational therapists 3220 Respiratory therapists 3230 Speech-language pathologists 3235 Exercise physiologists 3245 Therapists, all other 3250 Veterinarians 3255 Registered nurses 3256 Nurse anesthetists 3257 Nurse midwives 3258 Nurse practitioners 3260 Health diagnosing and treating practitioners, all other 3300 Clinical laboratory technologists and technicians 3310 Dental hygienists 3320 Diagnostic related technologists and technicians 3400 Emergency medical technicians and paramedics 3420 Health practitioner support technologists and technicians 3500 Licensed practical and licensed vocational nurses 3510 Medical records and health information technicians 3520 Opticians, dispensing 3535 Miscellaneous health technologists and technicians 3540 Other healthcare practitioners and technical occupations 3600 Nursing, psychiatric, and home health aides 3610 Occupational therapy assistants and aides 3620 Physical therapist assistants and aides 3630 Massage therapists 3640 Dental assistants 3645 Medical assistants 3646 Medical transcriptionists 3647 Pharmacy aides 3648 Veterinary assistants and laboratory animal caretakers 3649 Phlebotomists 3655 Miscellaneous healthcare support occupations, including medical equipment preparers 3700 First-line supervisors of correctional officers 3710 First-line supervisors of police and detectives 3720 First-line supervisors of fire fighting and prevention workers 3730 First-line supervisors of protective service workers, all other 3740 Firefighters 3750 Fire inspectors 3800 Bailiffs, correctional officers, and jailers 3820 Detectives and criminal investigators 3830 Fish and game wardens 3840 Parking enforcement workers 3850 Police and sheriff's patrol officers 3860 Transit and railroad police 3900 Animal control workers 3910 Private detectives and investigators 3930 Security guards and gaming surveillance officers 3940 Crossing guards 3945 Transportation security screeners 3955 Lifeguards and other recreational, and all other protective service workers 4000 Chefs and head cooks 4010 First-line supervisors of food preparation and serving workers 4020 Cooks 4030 Food preparation workers 4040 Bartenders 4050 Combined food preparation and serving workers, including fast food 4060 Counter attendants, cafeteria, food concession, and coffee shop 4110 Waiters and waitresses 4120 Food servers, nonrestaurant 4130 Dining room and cafeteria attendants and bartender helpers 4140 Dishwashers 4150 Hosts and hostesses, restaurant, lounge, and coffee shop 4160 Food preparation and serving related workers, all other 4200 First-line supervisors of housekeeping and janitorial workers 4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers 4220 Janitors and building cleaners 4230 Maids and housekeeping cleaners 4240 Pest control workers 4250 Grounds maintenance workers 4300 First-line supervisors of gaming workers 4320 First-line supervisors of personal service workers 4340 Animal trainers 4350 Nonfarm animal caretakers 4400 Gaming services workers 4410 Motion picture projectionists 4420 Ushers, lobby attendants, and ticket takers 4430 Miscellaneous entertainment attendants and related workers 4460 Embalmers and funeral attendants 4465 Morticians, undertakers, and funeral directors 4500 Barbers 4510 Hairdressers, hairstylists, and cosmetologists 4520 Miscellaneous personal appearance workers 4530 Baggage porters, bellhops, and concierges 4540 Tour and travel guides 4600 Childcare workers 4610 Personal care aides 4620 Recreation and fitness workers 4640 Residential advisors 4650 Personal care and service workers, all other 4700 First-line supervisors of retail sales workers 4710 First-line supervisors of non-retail sales workers 4720 Cashiers 4740 Counter and rental clerks 4750 Parts salespersons 4760 Retail salespersons 4800 Advertising sales agents 4810 Insurance sales agents 4820 Securities, commodities, and financial services sales agents 4830 Travel agents 4840 Sales representatives, services, all other 4850 Sales representatives, wholesale and manufacturing 4900 Models, demonstrators, and product promoters 4920 Real estate brokers and sales agents 4930 Sales engineers 4940 Telemarketers 4950 Door-to-door sales workers, news and street vendors, and related workers 4965 Sales and related workers, all other 5000 First-line supervisors of office and administrative support workers 5010 Switchboard operators, including answering service 5020 Telephone operators 5030 Communications equipment operators, all other 5100 Bill and account collectors 5110 Billing and posting clerks 5120 Bookkeeping, accounting, and auditing clerks 5130 Gaming cage workers 5140 Payroll and timekeeping clerks 5150 Procurement clerks 5160 Tellers 5165 Financial clerks, all other 5200 Brokerage clerks 5210 Correspondence clerks 5220 Court, municipal, and license clerks 5230 Credit authorizers, checkers, and clerks 5240 Customer service representatives 5250 Eligibility interviewers, government programs 5260 File Clerks 5300 Hotel, motel, and resort desk clerks 5310 Interviewers, except eligibility and loan 5320 Library assistants, clerical 5330 Loan interviewers and clerks 5340 New accounts clerks 5350 Order clerks 5360 Human resources assistants, except payroll and timekeeping 5400 Receptionists and information clerks 5410 Reservation and transportation ticket agents and travel clerks 5420 Information and record clerks, all other 5500 Cargo and freight agents 5510 Couriers and messengers 5520 Dispatchers 5530 Meter readers, utilities 5540 Postal service clerks 5550 Postal service mail carriers 5560 Postal service mail sorters, processors, and processing machine operators 5600 Production, planning, and expediting clerks 5610 Shipping, receiving, and traffic clerks 5620 Stock clerks and order fillers 5630 Weighers, measurers, checkers, and samplers, recordkeeping 5700 Secretaries and administrative assistants 5800 Computer operators 5810 Data entry keyers 5820 Word processors and typists 5830 Desktop publishers 5840 Insurance claims and policy processing clerks 5850 Mail clerks and mail machine operators, except postal service 5860 Office clerks, general 5900 Office machine operators, except computer 5910 Proofreaders and copy markers 5920 Statistical assistants 5940 Office and administrative support workers, all other 6005 First-line supervisors of farming, fishing, and forestry workers 6010 Agricultural inspectors 6020 Animal breeders 6040 Graders and sorters, agricultural products 6050 Miscellaneous agricultural workers 6100 Fishers and related fishing workers 6110 Hunters and trappers 6120 Forest and conservation workers 6130 Logging workers 6200 First-line supervisors of construction trades and extraction workers 6210 Boilermakers 6220 Brickmasons, blockmasons, and stonemasons 6230 Carpenters 6240 Carpet, floor, and tile installers and finishers 6250 Cement masons, concrete finishers, and terrazzo workers 6260 Construction laborers 6300 Paving, surfacing, and tamping equipment operators 6310 Pile-driver operators 6320 Operating engineers and other construction equipment operators 6330 Drywall installers, ceiling tile installers, and tapers 6355 Electricians 6360 Glaziers 6400 Insulation workers 6420 Painters, construction and maintenance 6430 Paperhangers 6440 Pipelayers, plumbers, pipefitters, and steamfitters 6460 Plasterers and stucco masons 6500 Reinforcing iron and rebar workers 6515 Roofers 6520 Sheet metal workers 6530 Structural iron and steel workers 6540 Solar photovoltaic installers 6600 Helpers, construction trades 6660 Construction and building inspectors 6700 Elevator installers and repairers 6710 Fence erectors 6720 Hazardous materials removal workers 6730 Highway maintenance workers 6740 Rail-track laying and maintenance equipment operators 6750 Septic tank servicers and sewer pipe cleaners 6765 Miscellaneous construction and related workers 6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining 6820 Earth drillers, except oil and gas 6830 Explosives workers, ordnance handling experts, and blasters 6840 Mining machine operators 6910 Roof bolters, mining 6920 Roustabouts, oil and gas 6930 Helpers—extraction workers 6940 Other extraction workers 7000 First-line supervisors of mechanics, installers, and repairers 7010 Computer, automated teller, and office machine repairers 7020 Radio and telecommunications equipment installers and repairers 7030 Avionics technicians 7040 Electric motor, power tool, and related repairers 7050 Electrical and electronics installers and repairers, transportation 7100 Electrical and electronics repairers, industrial and utility 7110 Electronic equipment installers and repairers, motor vehicles 7120 Electronic home entertainment equipment installers and repairers 7130 Security and fire alarm systems installers 7140 Aircraft mechanics and service technicians 7150 Automotive body and related repairers 7160 Automotive glass installers and repairers 7200 Automotive service technicians and mechanics 7210 Bus and truck mechanics and diesel engine specialists 7220 Heavy vehicle and mobile equipment service technicians and mechanics 7240 Small engine mechanics 7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers 7300 Control and valve installers and repairers 7315 Heating, air conditioning, and refrigeration mechanics and installers 7320 Home appliance repairers 7330 Industrial and refractory machinery mechanics 7340 Maintenance and repair workers, general 7350 Maintenance workers, machinery 7360 Millwrights 7410 Electrical power-line installers and repairers 7420 Telecommunications line installers and repairers 7430 Precision instrument and equipment repairers 7440 Wind turbine service technicians 7510 Coin, vending, and amusement machine servicers and repairers 7520 Commercial divers 7540 Locksmiths and safe repairers 7550 Manufactured building and mobile home installers 7560 Riggers 7600 Signal and track switch repairers 7610 Helpers—installation, maintenance, and repair workers 7630 Other installation, maintenance, and repair workers 7700 First-line supervisors of production and operating workers 7710 Aircraft structure, surfaces, rigging, and systems assemblers 7720 Electrical, electronics, and electromechanical assemblers 7730 Engine and other machine assemblers 7740 Structural metal fabricators and fitters 7750 Miscellaneous assemblers and fabricators 7800 Bakers 7810 Butchers and other meat, poultry, and fish processing workers 7830 Food and tobacco roasting, baking, and drying machine operators and tenders 7840 Food batchmakers 7850 Food cooking machine operators and tenders 7855 Food processing workers, all other 7900 Computer control programmers and operators 7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic 7930 Forging machine setters, operators, and tenders, metal and plastic 7940 Rolling machine setters, operators, and tenders, metal and plastic 7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic 8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic 8020 Milling and planing machine setters, operators, and tenders, metal and plastic 8030 Machinists 8040 Metal furnace operators, tenders, pourers, and casters 8060 Model makers and patternmakers, metal and plastic 8100 Molders and molding machine setters, operators, and tenders, metal and plastic 8120 Multiple machine tool setters, operators, and tenders, metal and plastic 8130 Tool and die makers 8140 Welding, soldering, and brazing workers 8150 Heat treating equipment setters, operators, and tenders, metal and plastic 8160 Layout workers, metal and plastic 8200 Plating and coating machine setters, operators, and tenders, metal and plastic 8210 Tool grinders, filers, and sharpeners 8220 Metal workers and plastic workers, all other 8250 Prepress technicians and workers 8255 Printing press operators 8256 Print binding and finishing workers 8300 Laundry and dry-cleaning workers 8310 Pressers, textile, garment, and related materials 8320 Sewing machine operators 8330 Shoe and leather workers and repairers 8340 Shoe machine operators and tenders 8350 Tailors, dressmakers, and sewers 8360 Textile bleaching and dyeing machine operators and tenders 8400 Textile cutting machine setters, operators, and tenders 8410 Textile knitting and weaving machine setters, operators, and tenders 8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders 8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers 8440 Fabric and apparel patternmakers 8450 Upholsterers 8460 Textile, apparel, and furnishings workers, all other 8500 Cabinetmakers and bench carpenters 8510 Furniture finishers 8520 Model makers and patternmakers, wood 8530 Sawing machine setters, operators, and tenders, wood 8540 Woodworking machine setters, operators, and tenders, except sawing 8550 Woodworkers, all other 8600 Power plant operators, distributors, and dispatchers 8610 Stationary engineers and boiler operators 8620 Water and wastewater treatment plant and system operators 8630 Miscellaneous plant and system operators 8640 Chemical processing machine setters, operators, and tenders 8650 Crushing, grinding, polishing, mixing, and blending workers 8710 Cutting workers 8720 Extruding, forming, pressing, and compacting machine setters, 8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders 8740 Inspectors, testers, sorters, samplers, and weighers 8750 Jewelers and precious stone and metal workers 8760 Medical, dental, and ophthalmic laboratory technicians 8800 Packaging and filling machine operators and tenders 8810 Painting workers 8830 Photographic process workers and processing machine operators 8840 Semiconductor processors 8850 Adhesive bonding machine operators and tenders 8860 Cleaning, washing, and metal pickling equipment operators and tenders 8900 Cooling and freezing equipment operators and tenders 8910 Etchers and engravers 8920 Molders, shapers, and casters, except metal and plastic 8930 Paper goods machine setters, operators, and tenders 8940 Tire builders 8950 Helpers—production workers 8965 Production workers, all other 9000 Supervisors of transportation and material moving workers 9030 Aircraft pilots and flight engineers 9040 Air traffic controllers and airfield operations specialists 9050 Flight attendants 9110 Ambulance drivers and attendants, except emergency medical technicians 9120 Bus drivers 9130 Driver/sales workers and truck drivers 9140 Taxi drivers and chauffeurs 9150 Motor vehicle operators, all other 9200 Locomotive engineers and operators 9230 Railroad brake, signal, and switch operators 9240 Railroad conductors and yardmasters 9260 Subway, streetcar, and other rail transportation workers 9300 Sailors and marine oilers 9310 Ship and boat captains and operators 9330 Ship engineers 9340 Bridge and lock tenders 9350 Parking lot attendants 9360 Automotive and watercraft service attendants 9410 Transportation inspectors 9415 Transportation attendants, except flight attendants 9420 Other transportation workers 9500 Conveyor operators and tenders 9510 Crane and tower operators 9520 Dredge, excavating, and loading machine operators 9560 Hoist and winch operators 9600 Industrial truck and tractor operators 9610 Cleaners of vehicles and equipment 9620 Laborers and freight, stock, and material movers, hand 9630 Machine feeders and offbearers 9640 Packers and packagers, hand 9650 Pumping station operators 9720 Refuse and recyclable material collectors 9730 Mine shuttle car operators 9740 Tank car, truck, and ship loaders 9750 Material moving workers, all other 9800 Military officer special and tactical operations leaders 9810 First-line enlisted military supervisors 9820 Military enlisted tactical operations and air/weapons specialists and crew members 9830 Military, rank not specified 9997 Uncodeable 9998 DK 9999 NA	80
MAOCCINDV	Label: Mothers occ/ind verbatim retrieved Format: F8.0 Measure: Scale Display Width: 11 Missing Values: -1 Value Label -1 IAP 0 No verbatims for ma 1 Verbatims for ma	81
MAOCCSTATUS	Label: MAOCC10 coding status Format: F8.0 Measure: Nominal Display Width: 13 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned	82
MAOCCTAG	Label: MAOCC10 coding tag Format: F8.0 Measure: Scale Display Width: 10 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	83
MAPRES10	Label: Mothers occupational prestige score (2010) Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0 Value Label 0 IAP,DK,NA,uncodeable	84
MAPRES105PLUS	Label: Mothers occupational prestige score using threshold method (2010) Format: F8.0 Measure: Scale Display Width: 15 Missing Values: 0 Value Label 0 IAP,DK,NA,uncodeable	85
MAIND10	Label: Mothers industry code (NAICS 2007) Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 Not applicable 170 Crop production 180 Animal production 190 Forestry, except logging 270 Logging 280 Fishing, hunting, and trapping 290 Support activities for agriculture and forestry 370 Oil and gas extraction 380 Coal mining 390 Metal ore mining 470 Nonmetallic mineral mining and quarrying 480 Not specified type of mining 490 Support activities for mining 570 Electric power generation, transmission, and distribution 580 Natural gas distribution 590 Electric and gas, and other combinations 670 Water, steam, air-conditioning, and irrigation systems 680 Sewage treatment facilities 690 Not specified utilities 770 Construction 1070 Animal food, grain, and oilseed milling 1080 Sugar and confectionery products 1090 Fruit and vegetable preserving and specialty food manufacturing 1170 Dairy product manufacturing 1180 Animal slaughtering and processing 1190 Retail bakeries 1270 Bakeries, except retail 1280 Seafood and other miscellaneous foods, n.e.c. 1290 Not specified food industries 1370 Beverage manufacturing 1390 Tobacco manufacturing 1470 Fiber, yarn, and thread mills 1480 Fabric mills, except knitting mills 1490 Textile and fabric finishing and coating mills 1570 Carpet and rug mills 1590 Textile product mills, except carpet and rug 1670 Knitting fabric mills, and apparel knitting mills 1680 Cut and sew apparel manufacturing 1690 Apparel accessories and other apparel manufacturing 1770 Footwear manufacturing 1790 Leather tanning and finishing and other allied products manufacturing 1870 Pulp, paper, and paperboard mills 1880 Paperboard containers and boxes 1890 Miscellaneous paper and pulp products 1990 Printing and related support activities 2070 Petroleum refining 2090 Miscellaneous petroleum and coal products 2170 Resin, synthetic rubber and fibers, and filaments manufacturing 2180 Agricultural chemical manufacturing 2190 Pharmaceutical and medicine manufacturing 2270 Paint, coating, and adhesive manufacturing 2280 Soap, cleaning compound, and cosmetics manufacturing 2290 Industrial and miscellaneous chemicals 2370 Plastics product manufacturing 2380 Tire manufacturing 2390 Rubber product, except tire, manufacturing 2470 Pottery, ceramics, and plumbing fixture manufacturing 2480 Structural clay product manufacturing 2490 Glass and glass product manufacturing 2570 Cement, concrete, lime, and gypsum product manufacturing 2590 Miscellaneous nonmetallic mineral product manufacturing 2670 Iron and steel mills and steel product manufacturing 2680 Aluminum production and processing 2690 Nonferrous metal (except aluminum) production and processing 2770 Foundries 2780 Metal forgings and stampings 2790 Cutlery and hand tool manufacturing 2870 Structural metals, and boiler, tank, and shipping container manufacturing 2880 Machine shops; turned product; screw, nut, and bolt manufacturing 2890 Coating, engraving, heat treating and allied activities 2970 Ordnance 2980 Miscellaneous fabricated metal products manufacturing 2990 Not specified metal industries 3070 Agricultural implement manufacturing 3080 Construction, and mining and oil and gas field machinery manufacturing 3090 Commercial and service industry machinery manufacturing 3170 Metalworking machinery manufacturing 3180 Engines, turbines, and power transmission equipment manufacturing 3190 Machinery manufacturing, n.e.c. 3290 Not specified machinery manufacturing 3360 Computer and peripheral equipment manufacturing 3370 Communications, and audio and video equipment manufacturing 3380 Navigational, measuring, electromedical, and control instruments manufacturing 3390 Electronic component and product manufacturing, n.e.c. 3470 Household appliance manufacturing 3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c. 3570 Motor vehicles and motor vehicle equipment manufacturing 3580 Aircraft and parts manufacturing 3590 Aerospace product and parts manufacturing 3670 Railroad rolling stock manufacturing 3680 Ship and boat building 3690 Other transportation equipment manufacturing 3770 Sawmills and wood preservation 3780 Veneer, plywood, and engineered wood products 3790 Prefabricated wood buildings and mobile homes 3870 Miscellaneous wood products 3890 Furniture and related product manufacturing 3960 Medical equipment and supplies manufacturing 3970 Sporting and athletic goods, and doll, toy and game manufacturing 3980 Miscellaneous manufacturing, n.e.c. 3990 Not specified manufacturing industries 4070 Motor vehicles, parts and supplies, merchant wholesalers 4080 Furniture and home furnishing, merchant wholesalers 4090 Lumber and other construction materials, merchant wholesalers 4170 Professional and commercial equipment and supplies, merchant wholesalers 4180 Metals and minerals, except petroleum, merchant wholesalers 4190 Electrical and electronic goods, merchant wholesalers 4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers 4270 Machinery, equipment, and supplies, merchant wholesalers 4280 Recyclable material, merchant wholesalers 4290 Miscellaneous durable goods, merchant wholesalers 4370 Paper and paper products, merchant wholesalers 4380 Drugs, sundries, and chemical and allied products, merchant wholesalers 4390 Apparel, fabrics, and notions, merchant wholesalers 4470 Groceries and related products, merchant wholesalers 4480 Farm product raw materials, merchant wholesalers 4490 Petroleum and petroleum products, merchant wholesalers 4560 Alcoholic beverages, merchant wholesalers 4570 Farm supplies, merchant wholesalers 4580 Miscellaneous nondurable goods, merchant wholesalers 4585 Wholesale electronic markets, agents and brokers 4590 Not specified wholesale trade 4670 Automobile dealers 4680 Other motor vehicle dealers 4690 Auto parts, accessories, and tire stores 4770 Furniture and home furnishings stores 4780 Household appliance stores 4790 Radio, TV, and computer stores 4870 Building material and supplies dealers 4880 Hardware stores 4890 Lawn and garden equipment and supplies stores 4970 Grocery stores 4980 Specialty food stores 4990 Beer, wine, and liquor stores 5070 Pharmacies and drug stores 5080 Health and personal care, except drug, stores 5090 Gasoline stations 5170 Clothing stores 5180 Shoe stores 5190 Jewelry, luggage, and leather goods stores 5270 Sporting goods, camera, and hobby and toy stores 5280 Sewing, needlework, and piece goods stores 5290 Music stores 5370 Book stores and news dealers 5380 Department stores and discount stores 5390 Miscellaneous general merchandise stores 5470 Retail florists 5480 Office supplies and stationery stores 5490 Used merchandise stores 5570 Gift, novelty, and souvenir shops 5580 Miscellaneous retail stores 5590 Electronic shopping 5591 Electronic auctions 5592 Mail order houses 5670 Vending machine operators 5680 Fuel dealers 5690 Other direct selling establishments 5790 Not specified retail trade 6070 Air transportation 6080 Rail transportation 6090 Water transportation 6170 Truck transportation 6180 Bus service and urban transit 6190 Taxi and limousine service 6270 Pipeline transportation 6280 Scenic and sightseeing transportation 6290 Services incidental to transportation 6370 Postal Service 6380 Couriers and messengers 6390 Warehousing and storage 6470 Newspaper publishers 6480 Periodical, book, and directory publishers 6490 Software publishers 6570 Motion pictures and video industries 6590 Sound recording industries 6670 Radio and television broadcasting and cable subscription programming 6672 Internet publishing and broadcasting and web search portals 6680 Wired telecommunications carriers 6690 Other telecommunications services 6695 Data processing, hosting, and related services 6770 Libraries and archives 6780 Other information services 6870 Banking and related activities 6880 Savings institutions, including credit unions 6890 Non-depository credit and related activities 6970 Securities, commodities, funds, trusts, and other financial investments 6990 Insurance carriers and related activities 7070 Real estate 7080 Automotive equipment rental and leasing 7170 Video tape and disk rental 7180 Other consumer goods rental 7190 Commercial, industrial, and other intangible assets rental and leasing 7270 Legal services 7280 Accounting, tax preparation, bookkeeping, and payroll services 7290 Architectural, engineering, and related services 7370 Specialized design services 7380 Computer systems design and related services 7390 Management, scientific, and technical consulting services 7460 Scientific research and development services 7470 Advertising and related services 7480 Veterinary services 7490 Other professional, scientific, and technical services 7570 Management of companies and enterprises 7580 Employment services 7590 Business support services 7670 Travel arrangements and reservation services 7680 Investigation and security services 7690 Services to buildings and dwellings 7770 Landscaping services 7780 Other administrative and other support services 7790 Waste management and remediation services 7860 Elementary and secondary schools 7870 Colleges and universities, including junior colleges 7880 Business, technical, and trade schools and training 7890 Other schools and instruction, and educational support services 7970 Offices of physicians 7980 Offices of dentists 7990 Offices of chiropractors 8070 Offices of optometrists 8080 Offices of other health practitioners 8090 Outpatient care centers 8170 Home health care services 8180 Other health care services 8190 Hospitals 8270 Nursing care facilities 8290 Residential care facilities, without nursing 8370 Individual and family services 8380 Community food and housing, and emergency services 8390 Vocational rehabilitation services 8470 Child day care services 8560 Independent artists, performing arts, spectator sports, and related industries 8570 Museums, art galleries, historical sites, and similar institutions 8580 Bowling centers 8590 Other amusement, gambling, and recreation industries 8660 Traveler accommodation 8670 Recreational vehicle parks and camps, and rooming and boarding houses 8680 Restaurants and other food services 8690 Drinking places, alcoholic beverages 8770 Automotive repair and maintenance 8780 Car washes 8790 Electronic and precision equipment repair and maintenance 8870 Commercial and industrial machinery and equipment repair and maintenance 8880 Personal and household goods repair and maintenance 8890 Footwear and leather goods repair 8970 Barber shops 8980 Beauty salons 8990 Nail salons and other personal care services 9070 Drycleaning and laundry services 9080 Funeral homes, and cemeteries and crematories 9090 Other personal services 9160 Religious organizations 9170 Civic, social, advocacy organizations, and grantmaking and giving services 9180 Labor unions 9190 Business, professional, political, and similar organizations 9290 Private households 9370 Executive offices and legislative bodies 9380 Public finance activities 9390 Other general government and support 9470 Justice, public order, and safety activities 9480 Administration of human resource programs 9490 Administration of environmental quality and housing programs 9570 Administration of economic programs and space research 9590 National security and international affairs 9670 U.S. Army 9680 U.S. Air Force 9690 U.S. Navy 9770 U.S. Marine Corps 9780 U.S. Coast Guard 9790 U.S. Armed Forces/n.s. 9870 Active duty military personnel, all other 9997 Uncodeable 9999 No answer	86
MAINDSTATUS	Label: MAIND10 coding status Format: F8.0 Measure: Nominal Display Width: 13 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned	87
MAINDTAG	Label: MAIND10 coding tag Format: F8.0 Measure: Scale Display Width: 10 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	88
SIBS	Label: Number of brothers and sisters Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	89
CHILDS	Label: Number of children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 9 Value Label 8 EIGHT OR MORE 9 DK NA	90
AGE	Label: Age of respondent Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 89 89 OR OLDER 98 DK 99 NA	91
AGEKDBRN	Label: R's age when 1st child born Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	92
EDUC	Label: Highest year of school completed Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 97; 98; 99 Value Label 97 IAP 98 DK 99 NA	93
PAEDUC	Label: Highest year school completed, father Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 97; 98; 99 Value Label 97 IAP 98 DK 99 NA	94
MAEDUC	Label: Highest year school completed, mother Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 97; 98; 99 Value Label 97 IAP 98 DK 99 NA	95
SPEDUC	Label: Highest year school completed, spouse Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 97; 98; 99 Value Label 97 IAP 98 DK 99 NA	96
COEDUC	Label: Highest year school completed, partner Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 97; 98; 99 Value Label 97 IAP 98 Don't Know 99 NA	97
CODEG	Label: Partner's highest degree Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 7; 8; 9 Value Label 0 LT HIGH SCHOOL 1 HIGH SCHOOL 2 JUNIOR COLLEGE 3 BACHELOR 4 GRADUATE 7 IAP 8 Don't Know 9 NA	98
DEGREE	Label: R's highest degree Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7; 8; 9 Value Label 0 LT HIGH SCHOOL 1 HIGH SCHOOL 2 JUNIOR COLLEGE 3 BACHELOR 4 GRADUATE 7 IAP 8 DK 9 NA	99
PADEG	Label: Father's highest degree Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7; 8; 9 Value Label 0 LT HIGH SCHOOL 1 HIGH SCHOOL 2 JUNIOR COLLEGE 3 BACHELOR 4 GRADUATE 7 IAP 8 DK 9 NA	100
MADEG	Label: Mothers highest degree Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7; 8; 9 Value Label 0 LT HIGH SCHOOL 1 HIGH SCHOOL 2 JUNIOR COLLEGE 3 BACHELOR 4 GRADUATE 7 IAP 8 DK 9 NA	101
SPDEG	Label: Spouse's highest degree Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7; 8; 9 Value Label 0 LT HIGH SCHOOL 1 HIGH SCHOOL 2 JUNIOR COLLEGE 3 BACHELOR 4 GRADUATE 7 IAP 8 DK 9 NA	102
MAJOR1	Label: College major 1 Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 ACCOUNTING/BOOKKEEPING 2 ADVERTISING 3 AGRICULTURE/HORTICULTURE 4 ALLIED HEALTH 5 ANTHROPOLGY 6 ARCHITECTURE 7 ART 8 BIOLOGY 9 BUSINESS ADMINISTRATION 11 CHEMISTRY 12 COMMUNICATIONS/SPEECH 13 COMM. DISORDERS 14 COMPUTER SCIENCE 15 DENTISTRY 16 EDUCATION 17 ECONOMICS 18 ENGINEERING 19 ENGLISH 20 FINANCE 21 FOREIGN LANGUAGE 22 FORESTRY 23 GEOGRAPHY 24 GEOLOGY 25 HISTORY 26 HOME ECONOMICS 27 INDUSTRY & TECHN 28 JOURNALISM 29 LAW 30 LAW ENFORCEMENT 31 LIBRARY SCIENCE 32 MARKETING 33 MATHMATICS 34 MEDICINE 35 MUSIC 36 NURSING 37 OPTOMETRY 38 PHARMACY 39 PHILOSOPHY 40 PHYSICAL EDUCATION 41 PHYSICS 42 PSYCHOLOGY 43 POLITICAL SCIENCE/INTERNATIONAL RELATIONS 44 SOCIOLOGY 45 SPECIAL EDUCATION 46 THEATER ARTS 47 THEOLOGY 48 VETERINARY MEDICINE 49 LIBERAL ARTS 50 OTHER 51 GENERAL SCIENCES 52 SOCIAL WORK 53 GENERAL STUDIES 54 OTHER VOCATIONAL 55 HEALTH 56 Industrial Relations 57 Child/Human/Family Development 58 Food Science/Nutrition/Culinary Arts 59 Environmental Science/Ecology 60 Social Sciences 61 Human Services/Human Resources 62 Visual Arts/Graphic Design/Design and Drafting 63 Fine Arts 64 Humanities 65 Ethnic studies 66 Educational administration 67 Television/Film 68 Aviation/Aeronatics 69 Statistics/Biostatistics 70 Criminology/Criminal Justice 71 Administrative Science/Public Administration 72 Electronics 73 Urban and Regional Planning 74 Mechanics/Machine Trade 75 Dance 76 Gerontology 77 Public Relations 78 Textiles/Cloth 79 Parks and Recreation 80 Information technology 81 Fashion 82 Counseling 98 DK/UNCODED 99 No answer	103
MAJOR2	Label: College major 2 Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 ACCOUNTING/BOOKKEEPING 2 ADVERTISING 3 AGRICULTURE/HORTICULTURE 4 ALLIED HEALTH 5 ANTHROPOLGY 6 ARCHITECTURE 7 ART 8 BIOLOGY 9 BUSINESS ADMINISTRATION 11 CHEMISTRY 12 COMMUNICATIONS/SPEECH 13 COMM. DISORDERS 14 COMPUTER SCIENCE 15 DENTISTRY 16 EDUCATION 17 ECONOMICS 18 ENGINEERING 19 ENGLISH 20 FINANCE 21 FOREIGN LANGUAGE 22 FORESTRY 23 GEOGRAPHY 24 GEOLOGY 25 HISTORY 26 HOME ECONOMICS 27 INDUSTRY & TECHN 28 JOURNALISM 29 LAW 30 LAW ENFORCEMENT 31 LIBRARY SCIENCE 32 MARKETING 33 MATHMATICS 34 MEDICINE 35 MUSIC 36 NURSING 37 OPTOMETRY 38 PHARMACY 39 PHILOSOPHY 40 PHYSICAL EDUCATION 41 PHYSICS 42 PSYCHOLOGY 43 POLITICAL SCIENCE/INTERNATIONAL RELATIONS 44 SOCIOLOGY 45 SPECIAL EDUCATION 46 THEATER ARTS 47 THEOLOGY 48 VETERINARY MEDICINE 49 LIBERAL ARTS 50 OTHER 51 GENERAL SCIENCES 52 SOCIAL WORK 53 GENERAL STUDIES 54 OTHER VOCATIONAL 55 HEALTH 56 Industrial Relations 57 Child/Human/Family Development 58 Food Science/Nutrition/Culinary Arts 59 Environmental Science/Ecology 60 Social Sciences 61 Human Services/Human Resources 62 Visual Arts/Graphic Design/Design and Drafting 63 Fine Arts 64 Humanities 65 Ethnic studies 66 Educational administration 67 Television/Film 68 Aviation/Aeronatics 69 Statistics/Biostatistics 70 Criminology/Criminal Justice 71 Administrative Science/Public Administration 72 Electronics 73 Urban and Regional Planning 74 Mechanics/Machine Trade 75 Dance 76 Gerontology 77 Public Relations 78 Textiles/Cloth 79 Parks and Recreation 80 Information technology 81 Fashion 82 Counseling 98 DK/UNCODED 99 No answer	104
DIPGED	Label: Diploma, ged, or other Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 High School diploma 2 GED 3 Other 5 HS diploma after post HS classes 8 DON'T KNOW 9 No answer	105
SPDIPGED	Label: Spouse diploma, ged, or other Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 High School diploma 2 GED 3 Other 8 DON'T KNOW 9 No answer	106
CODIPGED	Label: Partner diploma, ged, or other Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 High School diploma 2 GED 3 Other 8 DON'T KNOW 9 No answer	107
COSECTOR	Label: Type of college partneR attended Format: F8.0 Measure: Nominal Display Width: 10 Missing Values: -1; 99 Value Label -1 IAP 0 Administrative Unit 1 Public, 4-year or above 2 Private not-for-profit, 4-year or above 3 Private for-profit, 4-year or above 4 Public, 2-year 5 Private not-for-profit, 2-year or less 6 Private for-profit, 2-year 7 Public, less-than 2-year 9 Private for-profit, less-than 2-year 99 Sector unknown (not active)	108
WHENHS	Label: When received hs degree Format: F5.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	109
WHENCOL	Label: When received college degree Format: F5.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	110
SECTOR	Label: Type of college respondent attended Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99 Value Label -1 IAP 0 Administrative Unit 1 Public, 4-year or above 2 Private not-for-profit, 4-year or above 3 Private for-profit, 4-year or above 4 Public, 2-year 5 Private not-for-profit, 2-year or less 6 Private for-profit, 2-year 7 Public, less-than 2-year 9 Private for-profit, less-than 2-year 99 Sector unknown (not active)	111
EFTOTLT	Label: Total number of students enrolled in college respondent attended Format: F8.0 Measure: Nominal Display Width: 11 Missing Values: -1; 9 Value Label -1 IAP 1 0-467 students 2 468+ students 9 NA	112
BARATE	Label: Rate of BA degree earning in college respondent attended Format: F8.0 Measure: Nominal Display Width: 11 Missing Values: -1; 9 Value Label -1 IAP 1 0-39.9% 2 40-57.9% 3 58% or over 9 NA	113
GRADTOUNDER	Label: Ratio of graduate students to undergraduate students in college respondent attended Format: F8.0 Measure: Nominal Display Width: 14 Missing Values: -1; 9 Value Label -1 IAP 1 0-.210 graduate student per undergraduate student 2 .211 or over	114
VOEDCOL	Label: Non-college postsecondary education (VOEDNME1) Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	115
VOEDNME1	Label: Postsecondary institution attended for credit Format: F8.0 Measure: Scale Display Width: 12 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Jail/Prison 2 High School 3 Company/Business 4 Vocational School/Trades/technical (not High School not College) 5 Secretarial School 6 Adult Education/School 7 Medical/Nursing/Health/Dental/Hospital 8 Union 9 Armed Forces 10 College/University 11 Art/Design 12 Business College (not Business School at a university) 13 Home Study/Correspondence 14 Job Corp 15 Beauty School/Cosmetology 16 Insurance, Real Estate, Finance, Executive Management 17 Police/Fire Academy; Training 18 Development Center 19 Career Center 20 Foreign College/University 30 Other 40 Unable to code response, unclear, not identifiable 98 Unknown, uncodeable 99 No answer	116
VOEDNCOL	Label: Non-college postsecondary education (VOEDNME2) Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	117
VOEDNME2	Label: Postsecondary institution attended for credit Format: F8.0 Measure: Scale Display Width: 12 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Jail/Prison 2 High School 3 Company/Business 4 Vocational School/Trades/technical (not High School not College) 5 Secretarial School 6 Adult Education/School 7 Medical/Nursing/Health/Dental/Hospital 8 Union 9 Armed Forces 10 College/University 11 Art/Design 12 Business College (not Business School at a university) 13 Home Study/Correspondence 14 Job Corp 15 Beauty School/Cosmetology 16 Insurance, Real Estate, Finance, Executive Management 17 Police/Fire Academy; Training 18 Development Center 19 Career Center 20 Foreign College/University 30 Other 40 Unable to code response, unclear, not identifiable 98 Unknown, uncodeable 99 No answer	118
SPSECTOR	Label: Type of college spouse attended Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99 Value Label -1 IAP 0 Administrative Unit 1 Public, 4-year or above 2 Private not-for-profit, 4-year or above 3 Private for-profit, 4-year or above 4 Public, 2-year 5 Private not-for-profit, 2-year or less 6 Private for-profit, 2-year 7 Public, less-than 2-year 9 Private for-profit, less-than 2-year 99 Sector unknown (not active)	119
SPEFTOTLT	Label: Total number of students enrolled in college spouse attended Format: F8.0 Measure: Nominal Display Width: 11 Missing Values: -1; 9 Value Label -1 IAP 1 0-467 students 2 468+ students 9 NA	120
SPBARATE	Label: Rate of BA degree earning in college spouse attended Format: F8.0 Measure: Nominal Display Width: 11 Missing Values: -1; 9 Value Label -1 IAP 1 0-39.9% 2 40-57.9% 3 58% or over 9 NA	121
SPGRADTOUNDER	Label: Ratio of graduate students to undergraduate students in college spouse attended Format: F8.0 Measure: Nominal Display Width: 14 Missing Values: -1; 9 Value Label -1 IAP 1 0-.210 graduate student per undergraduate student 2 .211 or over	122
COBARATE	Label: Rate of BA degree earning at college partneR attended Format: F8.0 Measure: Nominal Display Width: 10 Missing Values: -1; 9 Value Label -1 IAP 1 0-39.9% 2 40-57.9% 3 58% or over 9 No answer	123
COGRADTOUNDER	Label: Ratio of graduate to undergraduate students at college partneR attended Format: F8.0 Measure: Nominal Display Width: 15 Missing Values: -1; 9 Value Label -1 IAP 1 0-.210 graduate student per undergraduate student 2 .211 or over 9 No answer	124
COEFTOTLT	Label: Total number of students enrolled at college partneR attended Format: F8.0 Measure: Nominal Display Width: 11 Missing Values: -1; 9 Value Label -1 IAP 1 0-467 students enrolled 2 468 or more students 9 No answer	125
SEX	Label: Respondents sex Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0 Value Label 1 MALE 2 FEMALE	126
RACE	Label: Race of respondent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0 Value Label 0 IAP 1 WHITE 2 BLACK 3 OTHER	127
RES16	Label: Type of place lived in when 16 yrs old Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COUNTRY,NONFARM 2 FARM 3 TOWN LT 50000 4 50000 TO 250000 5 BIG-CITY SUBURB 6 CITY GT 250000 8 DK 9 NA	128
REG16	Label: Region of residence, age 16 Format: F1.0 Measure: Nominal Display Width: 8 Value Label 0 FOREIGN 1 NEW ENGLAND 2 MIDDLE ATLANTIC 3 E. NOR. CENTRAL 4 W. NOR. CENTRAL 5 SOUTH ATLANTIC 6 E. SOU. CENTRAL 7 W. SOU. CENTRAL 8 MOUNTAIN 9 PACIFIC	129
MOBILE16	Label: Geographic mobility since age 16 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SAME CITY 2 SAME ST,DIF CITY 3 DIFFERENT STATE 8 DK 9 NA	130
FAMILY16	Label: Living with parents when 16 yrs old Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 OTHER 1 MOTHER & FATHER 2 FATHER & STPMOTHER 3 MOTHER & STPFATHER 4 FATHER 5 MOTHER 6 MALE RELATIVE 7 FEMALE RELATIVE 8 M AND F RELATIVES 9 NA	131
FAMDIF16	Label: Reason not living with parents Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PARENT DIED 2 DIVORCE,SEPARATED 3 ARMED FORCES 4 INSTITUTION 5 OTHER 8 DK 9 NA	132
MAWORK	Label: Mothers employment since marriage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	133
MAWKBABY	Label: Mothers employment before first grade Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	134
MAWKBORN	Label: Mothers employment after R was born Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	135
MAWK16	Label: Mothers employment when R growing up Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	136
MAWRKGRW	Label: Mothers employment when R was 16 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	137
INCOM16	Label: R's family income when 16 yrs old Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU HIGHEST; -1 Value Label -1 IAP 1 FAR BELOW AVERAGE 2 BELOW AVERAGE 3 AVERAGE 4 ABOVE AVERAGE 5 FAR ABOVE AVERAGE 7 LIVED IN INSTITUTION 8 DK 9 NA	138
BORN	Label: Was R born in this country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	139
PARBORN	Label: Were R's parents born in this country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 BOTH IN U.S 1 MOTHER ONLY 2 FATHER ONLY 3 MOTHER; FA. DK 4 NOT MOTHER;FA.DK 5 FATHER; MO.DK 6 NOT FATHER;MO.DK 7 DK FOR BOTH 8 NEITHER IN U.S 9 NA	140
GRANBORN	Label: How many grandparents born outside U.S. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 ALL IN U.S 8 DK 9 NA	141
HOMPOP	Label: Number of persons in household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 98 DK 99 NA	142
BABIES	Label: Household members less than 6 yrs old Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 9 Value Label 8 8 OR MORE 9 NA	143
PRETEEN	Label: Household members 6 thru 12 yrs old Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 9 Value Label 8 8 OR MORE 9 NA	144
TEENS	Label: Household members 13 thru 17 yrs old Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 9 Value Label 8 8 OR MORE 9 NA	145
ADULTS	Label: Household members 18 yrs and older Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 9 Value Label 8 8 OR MORE 9 NA	146
UNRELAT	Label: Number in household not related Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 8 8 OR MORE 9 NA	147
EARNRS	Label: How many in family earned money Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 9 Value Label 8 EIGHT OR MORE 9 NA	148
INCOME	Label: Total family income Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 13 THRU 99; 0 Value Label 0 IAP 1 LT $1000 2 $1000 TO 2999 3 $3000 TO 3999 4 $4000 TO 4999 5 $5000 TO 5999 6 $6000 TO 6999 7 $7000 TO 7999 8 $8000 TO 9999 9 $10000 - 14999 10 $15000 - 19999 11 $20000 - 24999 12 $25000 OR MORE 13 REFUSED 98 DK 99 NA	149
RINCOME	Label: Respondents income Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 13 THRU 99; 0 Value Label 0 IAP 1 LT $1000 2 $1000 TO 2999 3 $3000 TO 3999 4 $4000 TO 4999 5 $5000 TO 5999 6 $6000 TO 6999 7 $7000 TO 7999 8 $8000 TO 9999 9 $10000 - 14999 10 $15000 - 19999 11 $20000 - 24999 12 $25000 OR MORE 13 REFUSED 98 DK 99 NA	150
INCOME72	Label: Total family income Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 13 THRU 99; 0 Value Label 0 IAP 1 LT $2000 2 $2000 TO $3999 3 $4000 TO $5999 4 $6000 TO $7999 5 $8000 TO $9999 6 $10000 TO $12499 7 $12500 TO $14999 8 $15000 TO $17499 9 $17500 TO $19999 10 $20000 TO $24999 11 $25000 TO $29999 12 $30000+ 13 REFUSED 98 DK 99 NA	151
INCOME77	Label: Total family income Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 17 THRU 99; 0 Value Label 0 IAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-49999 16 $50000 + 17 REFUSED 98 DK 99 NA	152
RINCOM77	Label: Respondents income Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 17 THRU 99; 0 Value Label 0 IAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-49999 16 $50000 + 17 REFUSED 98 DK 99 NA	153
INCOME82	Label: Total family income Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 18 THRU 99; 0 Value Label 0 IAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-34999 16 $35000-49999 17 $50000 + 18 REFUSED 98 DK 99 NA	154
RINCOM82	Label: Respondents income Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 18 THRU 99; 0 Value Label 0 IAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-34999 16 $35000-49999 17 $50000 + 18 REFUSED 98 DK 99 NA	155
INCOME86	Label: Total family income Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 21 THRU 99; 0 Value Label 0 IAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-29999 16 $30000-34999 17 $35000-39999 18 $40000-49999 19 $50000-59999 20 $60000+ 21 REFUSED 98 DK 99 NA	156
RINCOM86	Label: Respondents income Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 21 THRU 99; 0 Value Label 0 IAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-29999 16 $30000-34999 17 $35000-39999 18 $40000-49999 19 $50000-59999 20 $60000+ 21 REFUSED 98 DK 99 NA	157
INCOME91	Label: Total family income Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 22 THRU 99; 0 Value Label 0 IAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-29999 16 $30000-34999 17 $35000-39999 18 $40000-49999 19 $50000-59999 20 $60000-74999 21 $75000+ 22 REFUSED 98 DK 99 NA	158
RINCOM91	Label: Respondents income Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 22 THRU 99; 0 Value Label 0 IAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-29999 16 $30000-34999 17 $35000-39999 18 $40000-49999 19 $50000-59999 20 $60000-74999 21 $75000+ 22 REFUSED 98 DK 99 NA	159
INCOME98	Label: Total family income Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 24 THRU 99; 0 Value Label 0 IAP 1 UNDER $1 000 2 $1 000 TO 2 999 3 $3 000 TO 3 999 4 $4 000 TO 4 999 5 $5 000 TO 5 999 6 $6 000 TO 6 999 7 $7 000 TO 7 999 8 $8 000 TO 9 999 9 $10000 TO 12499 10 $12500 TO 14999 11 $15000 TO 17499 12 $17500 TO 19999 13 $20000 TO 22499 14 $22500 TO 24999 15 $25000 TO 29999 16 $30000 TO 34999 17 $35000 TO 39999 18 $40000 TO 49999 19 $50000 TO 59999 20 $60000 TO 74999 21 $75000 TO $89999 22 $90000 - $109999 23 $110000 OR OVER 24 REFUSED 98 DK 99 NA	160
RINCOM98	Label: Respondents income Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 24 THRU 99; 0 Value Label 0 IAP 1 UNDER $1 000 2 $1 000 TO 2 999 3 $3 000 TO 3 999 4 $4 000 TO 4 999 5 $5 000 TO 5 999 6 $6 000 TO 6 999 7 $7 000 TO 7 999 8 $8 000 TO 9 999 9 $10000 TO 12499 10 $12500 TO 14999 11 $15000 TO 17499 12 $17500 TO 19999 13 $20000 TO 22499 14 $22500 TO 24999 15 $25000 TO 29999 16 $30000 TO 34999 17 $35000 TO 39999 18 $40000 TO 49999 19 $50000 TO 59999 20 $60000 TO 74999 21 $75000 TO $89999 22 $90000 - $109999 23 $110000 OR OVER 24 REFUSED 98 DK 99 NA	161
INCOME06	Label: Total family income Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 26 THRU 99; 0 Value Label 0 IAP 1 UNDER $1 000 2 $1 000 TO 2 999 3 $3 000 TO 3 999 4 $4 000 TO 4 999 5 $5 000 TO 5 999 6 $6 000 TO 6 999 7 $7 000 TO 7 999 8 $8 000 TO 9 999 9 $10000 TO 12499 10 $12500 TO 14999 11 $15000 TO 17499 12 $17500 TO 19999 13 $20000 TO 22499 14 $22500 TO 24999 15 $25000 TO 29999 16 $30000 TO 34999 17 $35000 TO 39999 18 $40000 TO 49999 19 $50000 TO 59999 20 $60000 TO 74999 21 $75000 TO $89999 22 $90000 TO $109999 23 $110000 TO $129999 24 $130000 TO $149999 25 $150000 OR OVER 26 REFUSED 98 DK 99 NA	162
RINCOM06	Label: Respondents income Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 26 THRU 99; 0 Value Label 0 IAP 1 UNDER $1 000 2 $1 000 TO 2 999 3 $3 000 TO 3 999 4 $4 000 TO 4 999 5 $5 000 TO 5 999 6 $6 000 TO 6 999 7 $7 000 TO 7 999 8 $8 000 TO 9 999 9 $10000 TO 12499 10 $12500 TO 14999 11 $15000 TO 17499 12 $17500 TO 19999 13 $20000 TO 22499 14 $22500 TO 24999 15 $25000 TO 29999 16 $30000 TO 34999 17 $35000 TO 39999 18 $40000 TO 49999 19 $50000 TO 59999 20 $60000 TO 74999 21 $75000 TO $89999 22 $90000 TO $109999 23 $110000 TO $129999 24 $130000 TO $149999 25 $150000 OR OVER 26 REFUSED 98 DK 99 NA	163
INCOME16	Label: Total family income Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 27 THRU 99; 0 Value Label 0 IAP 1 UNDER $1 000 2 $1 000 TO 2 999 3 $3 000 TO 3 999 4 $4 000 TO 4 999 5 $5 000 TO 5 999 6 $6 000 TO 6 999 7 $7 000 TO 7 999 8 $8 000 TO 9 999 9 $10000 TO 12499 10 $12500 TO 14999 11 $15000 TO 17499 12 $17500 TO 19999 13 $20000 TO 22499 14 $22500 TO 24999 15 $25000 TO 29999 16 $30000 TO 34999 17 $35000 TO 39999 18 $40000 TO 49999 19 $50000 TO 59999 20 $60000 TO 74999 21 $75000 TO $89999 22 $90000 TO $109999 23 $110000 TO $129999 24 $130000 TO $149999 25 $150000 TO $169999 26 $170000 OR OVER 27 REFUSED 98 DK 99 NA	164
RINCOM16	Label: Respondents income Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 27 THRU 99; 0 Value Label 0 IAP 1 UNDER $1 000 2 $1 000 TO 2 999 3 $3 000 TO 3 999 4 $4 000 TO 4 999 5 $5 000 TO 5 999 6 $6 000 TO 6 999 7 $7 000 TO 7 999 8 $8 000 TO 9 999 9 $10000 TO 12499 10 $12500 TO 14999 11 $15000 TO 17499 12 $17500 TO 19999 13 $20000 TO 22499 14 $22500 TO 24999 15 $25000 TO 29999 16 $30000 TO 34999 17 $35000 TO 39999 18 $40000 TO 49999 19 $50000 TO 59999 20 $60000 TO 74999 21 $75000 TO $89999 22 $90000 TO $109999 23 $110000 TO $129999 24 $130000 TO $149999 25 $150000 TO $169999 26 $170000 OR OVER 27 REFUSED 98 DK 99 NA	165
REGION	Label: Region of interview Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0 Value Label 0 NOT ASSIGNED 1 NEW ENGLAND 2 MIDDLE ATLANTIC 3 E. NOR. CENTRAL 4 W. NOR. CENTRAL 5 SOUTH ATLANTIC 6 E. SOU. CENTRAL 7 W. SOU. CENTRAL 8 MOUNTAIN 9 PACIFIC	166
XNORCSIZ	Label: Expanded NORC size code Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0 Value Label 0 NOT ASSIGNED 1 CITY GT 250000 2 CITY,50-250000 3 SUBURB, LRG CITY 4 SUBURB, MED CITY 5 UNINC,LRG CITY 6 UNINC,MED CITY 7 CITY,10-49999 8 TOWN GT 2500 9 SMALLER AREAS 10 OPEN COUNTRY	167
SRCBELT	Label: SRC beltcode Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0 Value Label 0 NOT ASSIGNED 1 12 LRGST SMSA'S 2 SMSA'S 13-100 3 SUBURB, 12 LRGST 4 SUBURB, 13-100 5 OTHER URBAN 6 OTHER RURAL	168
SIZE	Label: Size of place in 1000s Format: F4.0 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1 NOT ASSIGNED	169
DOTDATA	Label: D.O.T. code - relation to data Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	170
DOTPEOP	Label: D.O.T. code - relation to people Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	171
DOTTHNG	Label: D.O.T. code - relation to things Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	172
DOTGED	Label: D.O.T. code - general educ develop. Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	173
DOTSVP	Label: D.O.T. code - specific vocat. prep Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	174
DOTPRES	Label: TEMME prestige scale Format: F4.1 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.0 IAP	175
SPDOTDAT	Label: SP. D.O.T. code - relation to data Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	176
SPDOTPEO	Label: SP. D.O.T. code - relation to people Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	177
SPDOTTHN	Label: SP. D.O.T. code - relation to things Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	178
SPDOTGED	Label: SP. D.O.T. code - general educ develop. Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	179
SPDOTSVP	Label: SP. D.O.T. code - specific vocat. prep Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	180
SPDOTPRE	Label: SP. TEMME prestige scale Format: F4.1 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.0 IAP	181
PADOTDAT	Label: FA. D.O.T. code - relation to data Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	182
PADOTPEO	Label: FA. D.O.T. code - relation to people Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	183
PADOTTHN	Label: FA. D.O.T. code - relation to things Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	184
PADOTGED	Label: FA. D.O.T. code - general educ develop. Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	185
PADOTSVP	Label: FA. D.O.T. code - specific vocat. prep Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	186
PADOTPRE	Label: FA. TEMME prestige scale Format: F4.1 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.0 IAP	187
PARTYID	Label: Political party affiliation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 8; 9 Value Label 0 STRONG DEMOCRAT 1 NOT STR DEMOCRAT 2 IND,NEAR DEM 3 INDEPENDENT 4 IND,NEAR REP 5 NOT STR REPUBLICAN 6 STRONG REPUBLICAN 7 OTHER PARTY 8 DK 9 NA	188
VOTE68	Label: Did R vote in 1968 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA	189
PRES68	Label: Vote for Humphrey, Nixon, or Wallace Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HUMPHREY 2 NIXON 3 WALLACE 4 OTHER 5 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA	190
IF68WHO	Label: Who would R have voted for-1968 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HUMPHREY 2 NIXON 3 WALLACE 4 OTHER 5 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA	191
VOTE72	Label: Did R vote in 1972 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA	192
PRES72	Label: Vote for McGovern or Nixon Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MCGOVERN 2 NIXON 3 OTHER 4 REFUSED 5 WOULDNT VOTE 6 WLDNT VT-RELIG 8 DK 9 NA	193
IF72WHO	Label: Who would R have voted for-1972 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MCGOVERN 2 NIXON 3 OTHER 4 REFUSED 5 WOULDNT VOTE 6 WLDNT VT-RELIG 8 DK 9 NA	194
VOTE76	Label: Did R vote in 1976 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA	195
PRES76	Label: Vote for Carter or Ford Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CARTER 2 FORD 3 OTHER 4 REFUSED 5 NO PRES. VOTE 8 DK 9 NA	196
IF76WHO	Label: Who would R have voted for-1976 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CARTER 2 FORD 3 OTHER 4 REFUSED 5 WOULDNT VOTE 8 DK 9 NA	197
VOTE80	Label: Did R vote in 1980 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA	198
PRES80	Label: Vote for Carter, Reagan or Anderson Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CARTER 2 REAGAN 3 ANDERSON 4 OTHER 5 REFUSED 6 DIDNT VOTE 8 DK 9 NA	199
IF80WHO	Label: Who would R have voted for-1980 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CARTER 2 REAGAN 3 ANDERSON 4 OTHER 5 WOULDNT VOTE 7 REFUSED 8 DK 9 NA	200
VOTE84	Label: Did R vote in 1984 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA	201
PRES84	Label: Vote for Reagan or Mondale Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MONDALE 2 REAGAN 3 OTHER 4 REFUSED 5 NO PRES. VOTE 8 DK 9 NA	202
IF84WHO	Label: Who would R have voted for-1984 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MONDALE 2 REAGAN 3 OTHER 4 WOULDNT VOTE 5 REFUSED 8 DK 9 NA	203
VOTE88	Label: Did R vote in 1988 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA	204
PRES88	Label: Vote for Dukakis or Bush Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DUKAKIS 2 BUSH 3 OTHER 4 REFUSED 5 NO PRES. VOTE 8 DK 9 NA	205
IF88WHO	Label: Who would R have voted for-1988 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DUKAKIS 2 BUSH 3 OTHER 4 WOULDNT VOTE 5 REFUSED 8 DK 9 NA	206
VOTE92	Label: Did R vote in 1992 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 8 DK 9 NA	207
PRES92	Label: Vote for Clinton, Bush, Perot Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CLINTON 2 BUSH 3 PEROT 4 OTHER 6 NO PRES. VOTE 8 DK 9 NA	208
IF92WHO	Label: Who would R have voted for-1992 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CLINTON 2 BUSH 3 PEROT 4 OTHER 5 WOULDNT VOTE 8 DK 9 NA	209
VOTE96	Label: Did R vote in 1996 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VOTED 2 DID NOT VOTE 3 INELIGIBLE 4 REFUSED TO ANSWR 8 DONT KNOW/REMMBR 9 NA	210
PRES96	Label: Vote for Clinton, Dole, Perot Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CLINTON 2 DOLE 3 PEROT 4 OTHER (SPECIFY) 6 DIDNT VOTE 8 DONT KNOW 9 NA	211
IF96WHO	Label: Who would R have voted for-1996 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CLINTON 2 DOLE 3 PEROT 4 OTHER 8 DONT KNOW/RMEMBR 9 NA	212
VOTE00	Label: Did R vote in 2000 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VOTED 2 DID NOT VOTE 3 INELIGIBLE 4 REFUSED TO ANSWER 8 DONT KNOW/REMEMBER 9 NA	213
PRES00	Label: Vote for Gore, Bush, Nader Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GORE 2 BUSH 3 NADER 4 OTHER (SPECIFY) 6 DIDNT VOTE 8 DONT KNOW 9 NA	214
IF00WHO	Label: Who would R has voted for in 2000 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GORE 2 BUSH 3 NADER 4 OTHER 8 DONT KNOW/REMEMBER 9 NA	215
VOTE04	Label: Did R vote in 2004 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VOTED 2 DID NOT VOTE 3 INELIGIBLE 4 REFUSED TO ANSWER 8 DONT KNOW/REMEMBER 9 NA	216
PRES04	Label: Vote for Kerry, Bush, Nader Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 KERRY 2 BUSH 3 NADER 4 OTHER (SPECIFY) 6 DIDNT VOTE 8 DONT KNOW 9 NA	217
IF04WHO	Label: Who would R has voted for in 2004 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 KERRY 2 BUSH 3 NADER 4 OTHER 8 DONT KNOW/REMEMBER 9 NA	218
VOTE08	Label: Did R vote in 2008 election Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Voted 2 Did not vote 3 Ineligible 8 DON'T KNOW 9 No answer	219
PRES08	Label: Vote Obama or McCain Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Obama 2 McCain 3 OTHER CANDIDATE (SPECIFY) 4 DIDN'T VOTE 8 DK 9 NA	220
IF08WHO	Label: Who you would have voted for Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Obama 2 McCain 3 Other 8 DON'T KNOW 9 No answer	221
VOTE12	Label: Did R vote in 2012 election Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Voted 2 Did not vote 3 Ineligible 8 DK 9 NA	222
PRES12	Label: Vote Obama or Romney Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Obama 2 Romney 3 Other candidate (SPECIFY) 4 Didn't vote for president 8 Don't know 9 No answer	223
IF12WHO	Label: Who would R have voted for in 2012 election Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Obama 2 Romney 3 Other 8 Don't know 9 No answer	224
POLVIEWS	Label: Think of self as liberal or conservative Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE 5 SLGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTRMLY CONSERVATIVE 8 DK 9 NA	225
POLVIEWY	Label: Liberal or conservative-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 8 THRU HIGHEST; -1 Value Label -1 IAP 0 HAVENT THGHT ABT IT 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE 5 SLGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTRMLY CONSERVATIVE 8 DK 9 NA	226
POLVIEWX	Label: Liberal or conservative-Version X Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LEFT 10 RIGHT 98 DK 99 NA	227
NATSPAC	Label: Space exploration program Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	228
NATENVIR	Label: Improving & protecting environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	229
NATHEAL	Label: Improving & protecting nations health Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	230
NATCITY	Label: Solving problems of big cities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	231
NATCRIME	Label: Halting rising crime rate Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	232
NATDRUG	Label: Dealing with drug addiction Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	233
NATEDUC	Label: Improving nations education system Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	234
NATRACE	Label: Improving the conditions of blacks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	235
NATARMS	Label: Military, armaments, and defense Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	236
NATAID	Label: Foreign aid Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	237
NATFARE	Label: Welfare Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	238
NATROAD	Label: Highways and bridges Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	239
NATSOC	Label: Social security Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	240
NATMASS	Label: Mass transportation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	241
NATPARK	Label: Parks and recreation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	242
NATCHLD	Label: Assistance for childcare Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	243
NATSCI	Label: Supporting scientific research Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	244
NATENRGY	Label: Developing alternative energy sources Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Too little 2 About right 3 Too much 8 DON'T KNOW 9 No answer	245
NATSPACY	Label: Space exploration:Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	246
NATENVIY	Label: The environment:Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	247
NATHEALY	Label: Health:Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	248
NATCITYY	Label: Assistance to big cities:Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	249
NATCRIMY	Label: Law enforcement:Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	250
NATDRUGY	Label: Drug rehabilitation:Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	251
NATEDUCY	Label: Education:Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	252
NATRACEY	Label: Assistance to blacks:Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	253
NATARMSY	Label: National defense:Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	254
NATAIDY	Label: Assistance to other countries:Ver Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	255
NATFAREY	Label: Assistance to the poor:Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	256
NATSPACZ	Label: Space exploration:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	257
NATENVIZ	Label: Improving the environment:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	258
NATHEALZ	Label: Improving health:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	259
NATCITYZ	Label: Solving problems of big cities:Ver Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	260
NATCRIMZ	Label: Reducing crime:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	261
NATDRUGZ	Label: Reducing drug addiction:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	262
NATEDUCZ	Label: Improving the education system:Ver Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	263
NATRACEZ	Label: Improving conditions of blacks:Ver Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	264
NATARMSZ	Label: Strengthening national defense:Ver Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	265
NATAIDZ	Label: Helping other countries:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	266
NATFAREZ	Label: Caring for the poor:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	267
NATROADZ	Label: Improving highways and bridges:Ver Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	268
NATSOCZ	Label: Protecting social security:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	269
NATMASSZ	Label: Improving mass transit:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	270
NATPARKZ	Label: Improving parks and recreation:Ver Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA	271
EQUAL1	Label: Everyone should look out for self Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	272
EQUAL2	Label: Business profits benefit all Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	273
EQUAL3	Label: Govt shld insure jobs and stable prices Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	274
EQUAL4	Label: Responsibility of govt to meet needs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	275
EQUAL5	Label: Social welfare benefits are disincentive Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	276
EQUAL6	Label: One is able to live well in America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	277
EQUAL7	Label: Business profits are distributed fairly Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	278
EQUAL8	Label: Social standing due to ability Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	279
USCLASS1	Label: Traditional class divisions still remain Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	280
USCLASS2	Label: Achievement depends on family background Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	281
USCLASS3	Label: Achievement depends on educ and ability Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	282
USCLASS4	Label: Ones own efforts don't count Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	283
USCLASS5	Label: Personal income not determined by work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	284
USCLASS6	Label: Differences in class are an incentive Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	285
USCLASS7	Label: Differences in class reflect own effort Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	286
USCLASS8	Label: Social differences are acceptable Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA	287
EDUCOP	Label: Equal opportunity to obtain education? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	288
GOVCARE	Label: Govt concern for social welfare Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH CARE 2 ON RIGHT TRACK 8 DK 9 NA	289
EQWLTH	Label: Should govt reduce income differences Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVT REDUCE DIFF 7 NO GOVT ACTION 8 DK 9 NA	290
EQWLTHY	Label: Govt reduce income differences-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVT REDUCE DIFF 7 NO GOVT ACTION 8 DK 9 NA	291
TAX	Label: R's federal income tax Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO HIGH 2 ABOUT RIGHT 3 TOO LOW 4 R PAYS NONE<VOL.> 8 DK 9 NA	292
SPKATH	Label: Allow anti-religionist to speak Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALLOWED 2 NOT ALLOWED 8 DK 9 NA	293
COLATH	Label: Allow anti-religionist to teach Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 4 ALLOWED 5 NOT ALLOWED 8 DK 9 NA	294
LIBATH	Label: Allow anti-religious book in library Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REMOVE 2 NOT REMOVE 8 DK 9 NA	295
SPKSOC	Label: Allow socialist to speak Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALLOWED 2 NOT ALLOWED 8 DK 9 NA	296
COLSOC	Label: Allow socialist to teach Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 4 ALLOWED 5 NOT ALLOWED 8 DK 9 NA	297
LIBSOC	Label: Allow socialists book in library Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REMOVE 2 NOT REMOVE 8 DK 9 NA	298
SPKRAC	Label: Allow racist to speak Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALLOWED 2 NOT ALLOWED 8 DK 9 NA	299
COLRAC	Label: Allow racist to teach Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 4 ALLOWED 5 NOT ALLOWED 8 DK 9 NA	300
LIBRAC	Label: Allow racists book in library Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REMOVE 2 NOT REMOVE 8 DK 9 NA	301
SPKCOM	Label: Allow communist to speak Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALLOWED 2 NOT ALLOWED 8 DK 9 NA	302
COLCOM	Label: Should communist teacher be fired Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 4 FIRED 5 NOT FIRED 8 DK 9 NA	303
LIBCOM	Label: Allow communists book in library Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REMOVE 2 NOT REMOVE 8 DK 9 NA	304
SPKMIL	Label: Allow militarist to speak Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALLOWED 2 NOT ALLOWED 8 DK 9 NA	305
COLMIL	Label: Allow militarist to teach Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 4 ALLOWED 5 NOT ALLOWED 8 DK 9 NA	306
LIBMIL	Label: Allow militarists book in library Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REMOVE 2 NOT REMOVE 8 DK 9 NA	307
SPKHOMO	Label: Allow homosexual to speak Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALLOWED 2 NOT ALLOWED 8 DK 9 NA	308
COLHOMO	Label: Allow homosexual to teach Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 4 ALLOWED 5 NOT ALLOWED 8 DK 9 NA	309
LIBHOMO	Label: Allow homosexuals book in library Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REMOVE 2 NOT REMOVE 8 DK 9 NA	310
SPKMSLM	Label: Allow muslim clergymen preaching hatred of the us Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, allowed 2 Not allowed 8 DONT KNOW 9 NA	311
COLMSLM	Label: Allow anti-American muslim clergymen teaching in college Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 4 Yes, allowed 5 Not allowed 8 DONT KNOW 9 NA	312
LIBMSLM	Label: Allow anti-American muslim clergymen's books in library Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Remove 2 Not remove 8 DK 9 NA	313
CAPPUN2	Label: Does R favor capital punishment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES,FAVOR 2 NO,DONT FAVOR 8 DK 9 NA	314
CAPPUN	Label: Favor or oppose death penalty for murder Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAVOR 2 OPPOSE 8 DK 9 NA	315
CAPIMP	Label: Importance of death penalty issue to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMPORTANT 8 DK 9 NA	316
CAPINFO	Label: How much info R has on death penalty Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL INFO R NEEDS 2 MOST OF THE INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA	317
CAPFIRM	Label: How firm Is R's opinion of death penalty Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA	318
GUNLAW	Label: Favor or oppose gun permits Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAVOR 2 OPPOSE 8 DK 9 NA	319
GUNIMP	Label: Importance of gun control issue to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMPORTANT 8 DK 9 NA	320
GUNINFO	Label: How much info Does R have on gun control Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL INFO R NEEDS 2 MOST OF THE INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA	321
GUNFIRM	Label: How firm Is R's opinion on gun control Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA	322
COURTS	Label: Courts dealing with criminals Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO HARSH 2 NOT HARSH ENOUGH 3 ABOUT RIGHT 8 DK 9 NA	323
COURTSY	Label: Courts dealing with criminals-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO HARSH 2 NOT HARSH ENOUGH 3 ABOUT RIGHT 8 CANT SAY 9 NA	324
CRIMIMP	Label: Importance of crime issue to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMPORTANT 8 DK 9 NA	325
CRIMINFO	Label: How much info Does R have on crime issue Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL INFO R NEEDS 2 MOST OF THE INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA	326
CRIMFIRM	Label: How firm Is R's opinion on crime issue Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA	327
LAWIMP	Label: Importance of law enforcement issue to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMPORTANT 8 DK 9 NA	328
LAWINFO	Label: How much info Does R have on law issue Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL INFO R NEEDS 2 MOST OF THE INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA	329
LAWFIRM	Label: How firm Is R's opinion on law issue Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA	330
WIRTAP	Label: Wiretapping Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 APPROVE 2 DISAPPROVE 8 DK 9 NA	331
GRASS	Label: Should marijuana be made legal Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LEGAL 2 NOT LEGAL 8 DK 9 NA	332
GRASSY	Label: Should marijuana be legal-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LEGAL 2 NOT LEGAL 8 DK 9 NA	333
RELIG	Label: R's religious preference Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 6 BUDDHISM 7 HINDUISM 8 OTHER EASTERN 9 MOSLEM/ISLAM 10 ORTHODOX-CHRISTIAN 11 CHRISTIAN 12 NATIVE AMERICAN 13 INTER-NONDENOMINATIONAL 98 DK 99 NA	334
DENOM	Label: Specific denomination Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTH 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN US 42 OTHER PRESBYTERIAN 43 PRESBYTERIAN, MERGED 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA	335
OTHER	Label: Other protestant denominations Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 1 Hungarian Reformed 2 Evangelical Congregational 3 Ind Bible, Bible, Bible Fellowship 5 Church of Prophecy 6 New Testament Christian 7 Church of God, Saint & Christ 8 Moravian 9 Christian & Missionary Alliance 10 Advent Christian 11 Spiritualist 12 Assembly of God 13 Free Methodist 14 Apostolic Faith 15 African Methodist 16 Free Will Baptist 17 Eden Evangelist 18 Holiness (Nazarene) 19 Baptist (Northern) 20 Brethren Church, Brethren 21 Witness Holiness 22 Brethren, Plymouth 23 United Brethren, United Brethren in Christ 24 Independent 25 Christian Disciples 26 Christ in Christian Union 27 Open Bible 28 Christian Catholic 29 Christ Church Unity 30 Christ Adelphians 31 Christian; Central Christian 32 Christian Reform 33 Christian Scientist 34 Church of Christ, Evangelical 35 Church of Christ 36 Churches of God(Except with Christ and Holiness) 37 Church of God in Christ 38 Church of God in Christ Holiness 39 Church of the Living God 40 Congregationalist, 1st Congreg 41 Community Church 42 Covenant 43 Dutch Reform 44 Disciples of Christ 45 Evangelical, Evangelist 46 Evangelical Reformed 47 Evangelist Free Church 48 First Church 49 First Christian Disciples of Christ 50 First Reformed 51 First Christian 52 Full Gospel 53 Four Square Gospel 54 Friends 55 Holy Roller 56 Holiness; Church of Holiness 57 Pilgrim Holiness 58 Jehovah's Witnesses 59 LDS 60 LDS--Mormon 61 LDS--Reorganized 62 LDS--Jesus Christ; Church of Jesus LDS 63 Mennonite 64 Mormon 65 Nazarene 66 Pentecostal Assembly of God 67 Pentecostal Church of God 68 Pentecostal 69 Pentecostal Holiness, Holiness Pentecostal 70 Quaker 71 Reformed 72 Reformed United Church of Christ 73 Reformed Church of Christ 74 Religious Science 75 Mind Science 76 Salvation Army 77 7th Day Adventist 78 Sanctified, Sanctification 79 United Holiness 80 Unitarian, Universalist 81 United Church of Christ 82 United Church, Unity Church 83 Wesleyan 84 Wesleyan Methodist--Pilgrim 85 Zion Union 86 Zion Union Apostolic 87 Zion Union Apostolic--Reformed 88 Disciples of God 89 Grace Reformed 90 Holiness Church of God 91 Evangelical Covenant 92 Mission Covenant 93 Missionary Baptist 94 Swedish Mission 95 Unity 96 United Church of Christianity 97 Other Fundamentalist 98 Federated Church 99 American Reform 100 Grace Brethren 101 Christ in God 102 Charismatic 103 Pentecostal Apostolic 104 House of Prayer 105 Latvian Lutheran 106 Triumph Church of God 107 Apostolic Christian 108 Christ Cathedral of Truth 109 Bible Missionary 110 Calvary Bible 111 Amish 112 Evangelical Methodist 113 Worldwide Church of God 114 Church Universal and Triumphant 115 Mennonite Brethren 116 Church of the First Born 117 Missionary Church 118 The Way Ministry 119 United Church of Canada 120 Evangelical United Brethren 121 The Church of God of Prophecy 122 Chapel of Faith 123 Polish National Church 124 Faith Gospel Tabernacle 125 Christian Calvary Chapel 126 Carmelite 127 Church of Daniel's Band 128 Christian Tabernacle 129 Living Word 130 True Light Church of Christ 131 Macedonia 132 Brother of Christ 133 Primitive Baptist 134 Independent Fundamental Church of America 135 Chinese Gospel Church 136 New Age Spirituality 137 New Song 138 Apostolic Church 139 Faith Christian 140 People's Church 141 New Birth Christian 142 Unity School of Christianity 143 Assyrian Evangelist Church 144 Spirit of Christ 145 Church of Jesus Christ of the Restoration 146 Laotian Christian 148 Schwenkfelder 149 Polish Catholic 150 Zwinglian 151 World Overcomer Outreach Ministry 152 Course in Miracles 153 Unity of the Brethren 154 Spirit Filled 155 Christian Union 156 Church of Living Christ 157 Community of Christ 158 New Hope Christian Fellowship 159 Community Christian Fellowship 160 Friends in Christ 161 Hawaiian Ohana 162 Reformed Church of Jesus Christ of Latter Day Saints 163 Swedenurgian/Churches of the New Jerusalem 164 Divine Science 165 Church of the Living God 166 United Christian 167 Sanctuary 168 Rain on Us Deliverance Ministries 169 The Word Church 170 Cornerstone Church 171 Life Sanctuary 172 Word of Faith Church 173 Harvest Church 174 Shephard's Chapel 175 Greater New Testament Church 176 Vineyard Church 177 Real Life Ministries 178 Cathedral of Joy 179 Great Faith Ministries 180 Shield of Faith Ministries 181 Born Again 182 Alliance 183 Jacobite Apostolic 184 Church of God of Israel 185 Journeys 186 National Progressive Baptist 187 New Apostolic 188 Metropolitan Community 189 Family Life Church 190 Faith Fellowship 191 Faith Covenant 192 New Thought 193 Free Spirit Ministry 194 Jacobite Syrian Christian Church 195 The Ark Church 196 Empowerment Temple 197 Grace Independent Baptist Church 198 New Life 199 Follower of Christ 200 North Country Chapel 201 Pathways Christian Church 202 Messianic Christian 203 Warehouse Ministries 204 Universal Church of the Kingdom of God 205 Assembly of Christ 206 The Amana Church 207 The Legacy Church 208 Calvary 209 Church of the Living God 998 DK 999 NA	336
OTHJew	Label: Consider self to be Jewish Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 Half or part 3 No 8 DONT KNOW 9 NA	337
Jew	Label: What sort of Jew R is Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 5 Other 8 DK 9 NA	338
JewAJ	Label: What sort of Jew R is Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 8 DK 9 NA	339
FUND	Label: How fundamentalist Is R currently Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FUNDAMENTALIST 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED	340
ATTEND	Label: How often R attends religious services Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label 0 NEVER 1 LT ONCE A YEAR 2 ONCE A YEAR 3 SEVRL TIMES A YR 4 ONCE A MONTH 5 2-3X A MONTH 6 NRLY EVERY WEEK 7 EVERY WEEK 8 MORE THN ONCE WK 9 DK,NA	341
MAATTEND	Label: How often MA attended religious services Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 NEVER 1 LT ONCE A YEAR 2 ONCE A YEAR 3 SEVRL TIMES A YR 4 ONCE A MONTH 5 2-3X A MONTH 6 NRLY EVERY WEEK 7 EVERY WEEK 8 MORE THN ONCE WK 9 DK,NA	342
PAATTEND	Label: How often PA attended religious services Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 NEVER 1 LT ONCE A YEAR 2 ONCE A YEAR 3 SEVRL TIMES A YR 4 ONCE A MONTH 5 2-3X A MONTH 6 NRLY EVERY WEEK 7 EVERY WEEK 8 MORE THN ONCE WK 9 DK,NA	343
SPATTEND	Label: How often SP attends religious services Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 NEVER 1 LT ONCE A YEAR 2 ONCE A YEAR 3 SEVRL TIMES A YR 4 ONCE A MONTH 5 2-3X A MONTH 6 NRLY EVERY WEEK 7 EVERY WEEK 8 MORE THN ONCE WK 9 DK,NA	344
RELITEN	Label: Strength of affiliation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG 2 NOT VERY STRONG 3 SOMEWHAT STRONG 4 NO RELIGION 8 DK 9 NA	345
RELITENA	Label: Strength of affiliation Format: F8.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG 2 NOT VERY STRONG 3 SOMEWHAT STRONG 4 NO RELIGION 8 DK 9 NA	346
POSTLIFE	Label: Belief in life after death Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	347
POSTLF1	Label: Life of peace and tranquility Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	348
POSTLF2	Label: Life of intense action Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	349
POSTLF3	Label: Like here on earth only better Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	350
POSTLF4	Label: Life without many earthly joys Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	351
POSTLF5	Label: Pale or shadowy form of life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	352
POSTLF6	Label: A spiritual life involving mind not body Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	353
POSTLF7	Label: Paradise of pleasures and delights Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	354
POSTLF8	Label: Place of loving intellectual communion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	355
POSTLF9	Label: Union with god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	356
POSTLF10	Label: Reunion with loved ones Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	357
LIKEDIFF	Label: Afterlife contrast: better or lacking Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BETTER THAN EARTH 7 LIFE LACKING 8 DK 9 NA	358
MINDBODY	Label: Afterlife contrast: spiritual or sensual Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SPIRITUAL 7 SENSUAL LIFE 8 DK 9 NA	359
RESTACT	Label: Afterlife contrast: peaceful or action Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PEACEFUL 7 INTENSE ACTION 8 DK 9 NA	360
PALEFULL	Label: Afterlife contrast: shadows or full Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PALE, SHADOWY 7 COMPLETE FULFILLMENT 8 DK 9 NA	361
PRAY	Label: How often Does R pray Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SEVERAL TIMES A DAY 2 ONCE A DAY 3 SEVERAL TIMES A WEEK 4 ONCE A WEEK 5 LT ONCE A WEEK 6 NEVER 8 DK 9 NA	362
DEJAVU	Label: Thought one was someplace before Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER IN MY LIFE 2 ONCE OR TWICE 3 SEVERAL TIMES 4 OFTEN 8 CANNOT ANSWER 9 NA	363
ESP	Label: Felt in touch with someone far away Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER IN MY LIFE 2 ONCE OR TWICE 3 SEVERAL TIMES 4 OFTEN 8 CANNOT ANSWER 9 NA	364
VISIONS	Label: Perceived events at great distance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER IN MY LIFE 2 ONCE OR TWICE 3 SEVERAL TIMES 4 OFTEN 8 CANNOT ANSWER 9 NA	365
SPIRITS	Label: Felt in touch with deceased person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER IN MY LIFE 2 ONCE OR TWICE 3 SEVERAL TIMES 4 OFTEN 8 CANNOT ANSWER 9 NA	366
GRACE	Label: Had powerful religious experience Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER IN MY LIFE 2 ONCE OR TWICE 3 SEVERAL TIMES 4 OFTEN 8 CANNOT ANSWER 9 NA	367
NEARGOD	Label: How close Does R feel to god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY CLOSE 2 SOMEWHAT CLOSE 3 NOT VERY CLOSE 4 NOT CLOSE AT ALL 5 DOES NOT BELIEVE 8 DK 9 NA	368
JUDGE	Label: Image of god as judge Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	369
REDEEMER	Label: Image of god as redeemer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	370
LOVER	Label: Image of god as lover Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	371
MASTER	Label: Image of god as master Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	372
MOTHER	Label: Image of god as mother Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	373
CREATOR	Label: Image of god as creator Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	374
FATHER	Label: Image of god as father Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	375
SPOUSE	Label: Image of god as spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	376
FRIEND	Label: Image of god as friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	377
KING	Label: Image of god as king Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	378
LIBERATR	Label: Image of god as liberator Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	379
HEALER	Label: Image of god as healer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	380
MAPA	Label: Contrast between mother and father Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOTHER 7 FATHER 8 DK 9 NA	381
MASTERSP	Label: Contrast between master and spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MASTER 7 SPOUSE 8 DK 9 NA	382
JUDGELUV	Label: Contrast between judge and lover Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 JUDGE 7 LOVER 8 DK 9 NA	383
FRNDKING	Label: Contrast between friend and king Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FRIEND 7 KING 8 DK 9 NA	384
CRTRHEAL	Label: Contrast between creator and healer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CREATOR 7 HEALER 8 DK 9 NA	385
RDEEMLIB	Label: Contrast between redeemer and liberator Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REDEEMER 7 LIBERATOR 8 DK 9 NA	386
POPESPKS	Label: Pope is infallible on matteR's of faith or morals Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CERTAINLY TRUE 2 PROBABLY TRUE 3 UNCERTAIN TRUE OR FALSE 4 PROBABLY FALSE 5 CERTAINLY FALSE 8 DONT KNOW 9 NO ANSWER	387
RELIG16	Label: Religion in which raised Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 6 BUDDHISM 7 HINDUISM 8 OTHER EASTERN 9 MOSLEM/ISLAM 10 ORTHODOX-CHRISTIAN 11 CHRISTIAN 12 NATIVE AMERICAN 13 INTER-NONDENOMINATIONAL 98 DK 99 NA	388
DENOM16	Label: Denomination in which R was raised Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTH 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN US 42 OTHER PRESBYTERIAN 43 PRESBYTERIAN, MERGED 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA	389
OTH16	Label: Other protestant denominations Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 1 Hungarian Reformed 2 Evangelical Congregational 3 Ind Bible, Bible, Bible Fellowship 5 Church of Prophecy 6 New Testament Christian 7 Church of God, Saint & Christ 8 Moravian 9 Christian & Missionary Alliance 10 Advent Christian 11 Spiritualist 12 Assembly of God 13 Free Methodist 14 Apostolic Faith 15 African Methodist 16 Free Will Baptist 17 Eden Evangelist 18 Holiness (Nazarene) 19 Baptist (Northern) 20 Brethren Church, Brethren 21 Witness Holiness 22 Brethren, Plymouth 23 United Brethren, United Brethren in Christ 24 Independent 25 Christian Disciples 26 Christ in Christian Union 27 Open Bible 28 Christian Catholic 29 Christ Church Unity 30 Christ Adelphians 31 Christian; Central Christian 32 Christian Reform 33 Christian Scientist 34 Church of Christ, Evangelical 35 Church of Christ 36 Churches of God(Except with Christ and Holiness) 37 Church of God in Christ 38 Church of God in Christ Holiness 39 Church of the Living God 40 Congregationalist, 1st Congreg 41 Community Church 42 Covenant 43 Dutch Reform 44 Disciples of Christ 45 Evangelical, Evangelist 46 Evangelical Reformed 47 Evangelist Free Church 48 First Church 49 First Christian Disciples of Christ 50 First Reformed 51 First Christian 52 Full Gospel 53 Four Square Gospel 54 Friends 55 Holy Roller 56 Holiness; Church of Holiness 57 Pilgrim Holiness 58 Jehovah's Witnesses 59 LDS 60 LDS--Mormon 61 LDS--Reorganized 62 LDS--Jesus Christ; Church of Jesus LDS 63 Mennonite 64 Mormon 65 Nazarene 66 Pentecostal Assembly of God 67 Pentecostal Church of God 68 Pentecostal 69 Pentecostal Holiness, Holiness Pentecostal 70 Quaker 71 Reformed 72 Reformed United Church of Christ 73 Reformed Church of Christ 74 Religious Science 75 Mind Science 76 Salvation Army 77 7th Day Adventist 78 Sanctified, Sanctification 79 United Holiness 80 Unitarian, Universalist 81 United Church of Christ 82 United Church, Unity Church 83 Wesleyan 84 Wesleyan Methodist--Pilgrim 85 Zion Union 86 Zion Union Apostolic 87 Zion Union Apostolic--Reformed 88 Disciples of God 89 Grace Reformed 90 Holiness Church of God 91 Evangelical Covenant 92 Mission Covenant 93 Missionary Baptist 94 Swedish Mission 95 Unity 96 United Church of Christianity 97 Other Fundamentalist 98 Federated Church 99 American Reform 100 Grace Brethren 101 Christ in God 102 Charismatic 103 Pentecostal Apostolic 104 House of Prayer 105 Latvian Lutheran 106 Triumph Church of God 107 Apostolic Christian 108 Christ Cathedral of Truth 109 Bible Missionary 110 Calvary Bible 111 Amish 112 Evangelical Methodist 113 Worldwide Church of God 114 Church Universal and Triumphant 115 Mennonite Brethren 116 Church of the First Born 117 Missionary Church 118 The Way Ministry 119 United Church of Canada 120 Evangelical United Brethren 121 The Church of God of Prophecy 122 Chapel of Faith 123 Polish National Church 124 Faith Gospel Tabernacle 125 Christian Calvary Chapel 126 Carmelite 127 Church of Daniel's Band 128 Christian Tabernacle 129 Living Word 130 True Light Church of Christ 131 Macedonia 132 Brother of Christ 133 Primitive Baptist 134 Independent Fundamental Church of America 135 Chinese Gospel Church 136 New Age Spirituality 137 New Song 138 Apostolic Church 139 Faith Christian 140 People's Church 141 New Birth Christian 142 Unity School of Christianity 143 Assyrian Evangelist Church 144 Spirit of Christ 145 Church of Jesus Christ of the Restoration 146 Laotian Christian 148 Schwenkfelder 149 Polish Catholic 150 Zwinglian 151 World Overcomer Outreach Ministry 152 Course in Miracles 153 Unity of the Brethren 154 Spirit Filled 155 Christian Union 156 Church of Living Christ 157 Community of Christ 158 New Hope Christian Fellowship 159 Community Christian Fellowship 160 Friends in Christ 161 Hawaiian Ohana 162 Reformed Church of Jesus Christ of Latter Day Saints 163 Swedenurgian/Churches of the New Jerusalem 164 Divine Science 165 Church of the Living God 166 United Christian 167 Sanctuary 168 Rain on Us Deliverance Ministries 169 The Word Church 170 Cornerstone Church 171 Life Sanctuary 172 Word of Faith Church 173 Harvest Church 174 Shephard's Chapel 175 Greater New Testament Church 176 Vineyard Church 177 Real Life Ministries 178 Cathedral of Joy 179 Great Faith Ministries 180 Shield of Faith Ministries 181 Born Again 182 Alliance 183 Jacobite Apostolic 184 Church of God of Israel 185 Journeys 186 National Progressive Baptist 187 New Apostolic 188 Metropolitan Community 189 Family Life Church 190 Faith Fellowship 191 Faith Covenant 192 New Thought 193 Free Spirit Ministry 194 Jacobite Syrian Christian Church 195 The Ark Church 196 Empowerment Temple 197 Grace Independent Baptist Church 198 New Life 199 Follower of Christ 200 North Country Chapel 201 Pathways Christian Church 202 Messianic Christian 203 Warehouse Ministries 204 Universal Church of the Kingdom of God 205 Assembly of Christ 206 The Amana Church 207 The Legacy Church 208 Calvary 209 Church of the Living God 998 DK 999 NA	390
OTHJew16	Label: R raised as a Jew Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 Half or part 3 No 8 DONT KNOW 9 NA	391
Jew16	Label: What sort of Jew R was at age 16 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 5 Other 8 DK 9 NA	392
Jew16AJ	Label: What sort of Jew R was at age 16 Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 8 DK 9 NA	393
FUND16	Label: How fundamentalist was R at age 16 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FUNDAMENTALIST 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED	394
SPREL	Label: Spouse's religious preference Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 6 BUDDHISM 7 HINDUISM 8 OTHER EASTERN 9 MOSLEM/ISLAM 10 ORTHODOX-CHRISTIAN 11 CHRISTIAN 12 NATIVE AMERICAN 13 INTER-NONDENOMINATIONAL 98 DK 99 NA	395
SPDEN	Label: Specific denomination, spouse Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTH 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN US 42 OTHER PRESBYTERIAN 43 PRESBYTERIAN, MERGED 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA	396
SPOTHER	Label: Other protestant denominations Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 1 Hungarian Reformed 2 Evangelical Congregational 3 Ind Bible, Bible, Bible Fellowship 5 Church of Prophecy 6 New Testament Christian 7 Church of God, Saint & Christ 8 Moravian 9 Christian & Missionary Alliance 10 Advent Christian 11 Spiritualist 12 Assembly of God 13 Free Methodist 14 Apostolic Faith 15 African Methodist 16 Free Will Baptist 17 Eden Evangelist 18 Holiness (Nazarene) 19 Baptist (Northern) 20 Brethren Church, Brethren 21 Witness Holiness 22 Brethren, Plymouth 23 United Brethren, United Brethren in Christ 24 Independent 25 Christian Disciples 26 Christ in Christian Union 27 Open Bible 28 Christian Catholic 29 Christ Church Unity 30 Christ Adelphians 31 Christian; Central Christian 32 Christian Reform 33 Christian Scientist 34 Church of Christ, Evangelical 35 Church of Christ 36 Churches of God(Except with Christ and Holiness) 37 Church of God in Christ 38 Church of God in Christ Holiness 39 Church of the Living God 40 Congregationalist, 1st Congreg 41 Community Church 42 Covenant 43 Dutch Reform 44 Disciples of Christ 45 Evangelical, Evangelist 46 Evangelical Reformed 47 Evangelist Free Church 48 First Church 49 First Christian Disciples of Christ 50 First Reformed 51 First Christian 52 Full Gospel 53 Four Square Gospel 54 Friends 55 Holy Roller 56 Holiness; Church of Holiness 57 Pilgrim Holiness 58 Jehovah's Witnesses 59 LDS 60 LDS--Mormon 61 LDS--Reorganized 62 LDS--Jesus Christ; Church of Jesus LDS 63 Mennonite 64 Mormon 65 Nazarene 66 Pentecostal Assembly of God 67 Pentecostal Church of God 68 Pentecostal 69 Pentecostal Holiness, Holiness Pentecostal 70 Quaker 71 Reformed 72 Reformed United Church of Christ 73 Reformed Church of Christ 74 Religious Science 75 Mind Science 76 Salvation Army 77 7th Day Adventist 78 Sanctified, Sanctification 79 United Holiness 80 Unitarian, Universalist 81 United Church of Christ 82 United Church, Unity Church 83 Wesleyan 84 Wesleyan Methodist--Pilgrim 85 Zion Union 86 Zion Union Apostolic 87 Zion Union Apostolic--Reformed 88 Disciples of God 89 Grace Reformed 90 Holiness Church of God 91 Evangelical Covenant 92 Mission Covenant 93 Missionary Baptist 94 Swedish Mission 95 Unity 96 United Church of Christianity 97 Other Fundamentalist 98 Federated Church 99 American Reform 100 Grace Brethren 101 Christ in God 102 Charismatic 103 Pentecostal Apostolic 104 House of Prayer 105 Latvian Lutheran 106 Triumph Church of God 107 Apostolic Christian 108 Christ Cathedral of Truth 109 Bible Missionary 110 Calvary Bible 111 Amish 112 Evangelical Methodist 113 Worldwide Church of God 114 Church Universal and Triumphant 115 Mennonite Brethren 116 Church of the First Born 117 Missionary Church 118 The Way Ministry 119 United Church of Canada 120 Evangelical United Brethren 121 The Church of God of Prophecy 122 Chapel of Faith 123 Polish National Church 124 Faith Gospel Tabernacle 125 Christian Calvary Chapel 126 Carmelite 127 Church of Daniel's Band 128 Christian Tabernacle 129 Living Word 130 True Light Church of Christ 131 Macedonia 132 Brother of Christ 133 Primitive Baptist 134 Independent Fundamental Church of America 135 Chinese Gospel Church 136 New Age Spirituality 137 New Song 138 Apostolic Church 139 Faith Christian 140 People's Church 141 New Birth Christian 142 Unity School of Christianity 143 Assyrian Evangelist Church 144 Spirit of Christ 145 Church of Jesus Christ of the Restoration 146 Laotian Christian 148 Schwenkfelder 149 Polish Catholic 150 Zwinglian 151 World Overcomer Outreach Ministry 152 Course in Miracles 153 Unity of the Brethren 154 Spirit Filled 155 Christian Union 156 Church of Living Christ 157 Community of Christ 158 New Hope Christian Fellowship 159 Community Christian Fellowship 160 Friends in Christ 161 Hawaiian Ohana 162 Reformed Church of Jesus Christ of Latter Day Saints 163 Swedenurgian/Churches of the New Jerusalem 164 Divine Science 165 Church of the Living God 166 United Christian 167 Sanctuary 168 Rain on Us Deliverance Ministries 169 The Word Church 170 Cornerstone Church 171 Life Sanctuary 172 Word of Faith Church 173 Harvest Church 174 Shephard's Chapel 175 Greater New Testament Church 176 Vineyard Church 177 Real Life Ministries 178 Cathedral of Joy 179 Great Faith Ministries 180 Shield of Faith Ministries 181 Born Again 182 Alliance 183 Jacobite Apostolic 184 Church of God of Israel 185 Journeys 186 National Progressive Baptist 187 New Apostolic 188 Metropolitan Community 189 Family Life Church 190 Faith Fellowship 191 Faith Covenant 192 New Thought 193 Free Spirit Ministry 194 Jacobite Syrian Christian Church 195 The Ark Church 196 Empowerment Temple 197 Grace Independent Baptist Church 198 New Life 199 Follower of Christ 200 North Country Chapel 201 Pathways Christian Church 202 Messianic Christian 203 Warehouse Ministries 204 Universal Church of the Kingdom of God 205 Assembly of Christ 206 The Amana Church 207 The Legacy Church 208 Calvary 209 Church of the Living God 998 DK 999 NA	397
SPOTHJew	Label: Spouse considers self Jewish Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 Half or part 3 No 8 DONT KNOW 9 NA	398
SPJew	Label: What sort of Jew Is R's spouse currently Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 5 Other 8 DK 9 NA	399
SPJewAJ	Label: What sort of Jew Is R's spouse currently Format: F8.0 Measure: Nominal Display Width: 8 Value Label 0 IAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 8 DK 9 NA	400
SPFUND	Label: How fundamentalist is spouse currently Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FUNDAMENTALIST 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED	401
SPREL16	Label: Religion in which spouse raised Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Protestant 2 Catholic 3 Jewish 4 None 5 OTHER 8 DONT KNOW 9 NA	402
SPDEN16	Label: Denomination in which spouse raised Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELIC LUTH 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 43 PRESBYTERIAN, MERGED 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA	403
SPOTH16	Label: Other protestant denominations Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 1 Hungarian Reformed 2 Evangelical Congregational 3 Ind Bible, Bible, Bible Fellowship 5 Church of Prophecy 6 New Testament Christian 7 Church of God, Saint & Christ 8 Moravian 9 Christian & Missionary Alliance 10 Advent Christian 11 Spiritualist 12 Assembly of God 13 Free Methodist 14 Apostolic Faith 15 African Methodist 16 Free Will Baptist 17 Eden Evangelist 18 Holiness (Nazarene) 19 Baptist (Northern) 20 Brethren Church, Brethren 21 Witness Holiness 22 Brethren, Plymouth 23 United Brethren, United Brethren in Christ 24 Independent 25 Christian Disciples 26 Christ in Christian Union 27 Open Bible 28 Christian Catholic 29 Christ Church Unity 30 Christ Adelphians 31 Christian; Central Christian 32 Christian Reform 33 Christian Scientist 34 Church of Christ, Evangelical 35 Church of Christ 36 Churches of God(Except with Christ and Holiness) 37 Church of God in Christ 38 Church of God in Christ Holiness 39 Church of the Living God 40 Congregationalist, 1st Congreg 41 Community Church 42 Covenant 43 Dutch Reform 44 Disciples of Christ 45 Evangelical, Evangelist 46 Evangelical Reformed 47 Evangelist Free Church 48 First Church 49 First Christian Disciples of Christ 50 First Reformed 51 First Christian 52 Full Gospel 53 Four Square Gospel 54 Friends 55 Holy Roller 56 Holiness; Church of Holiness 57 Pilgrim Holiness 58 Jehovah's Witnesses 59 LDS 60 LDS--Mormon 61 LDS--Reorganized 62 LDS--Jesus Christ; Church of Jesus LDS 63 Mennonite 64 Mormon 65 Nazarene 66 Pentecostal Assembly of God 67 Pentecostal Church of God 68 Pentecostal 69 Pentecostal Holiness, Holiness Pentecostal 70 Quaker 71 Reformed 72 Reformed United Church of Christ 73 Reformed Church of Christ 74 Religious Science 75 Mind Science 76 Salvation Army 77 7th Day Adventist 78 Sanctified, Sanctification 79 United Holiness 80 Unitarian, Universalist 81 United Church of Christ 82 United Church, Unity Church 83 Wesleyan 84 Wesleyan Methodist--Pilgrim 85 Zion Union 86 Zion Union Apostolic 87 Zion Union Apostolic--Reformed 88 Disciples of God 89 Grace Reformed 90 Holiness Church of God 91 Evangelical Covenant 92 Mission Covenant 93 Missionary Baptist 94 Swedish Mission 95 Unity 96 United Church of Christianity 97 Other Fundamentalist 98 Federated Church 99 American Reform 100 Grace Brethren 101 Christ in God 102 Charismatic 103 Pentecostal Apostolic 104 House of Prayer 105 Latvian Lutheran 106 Triumph Church of God 107 Apostolic Christian 108 Christ Cathedral of Truth 109 Bible Missionary 110 Calvary Bible 111 Amish 112 Evangelical Methodist 113 Worldwide Church of God 114 Church Universal and Triumphant 115 Mennonite Brethren 116 Church of the First Born 117 Missionary Church 118 The Way Ministry 119 United Church of Canada 120 Evangelical United Brethren 121 The Church of God of Prophecy 122 Chapel of Faith 123 Polish National Church 124 Faith Gospel Tabernacle 125 Christian Calvary Chapel 126 Carmelite 127 Church of Daniel's Band 128 Christian Tabernacle 129 Living Word 130 True Light Church of Christ 131 Macedonia 132 Brother of Christ 133 Primitive Baptist 134 Independent Fundamental Church of America 135 Chinese Gospel Church 136 New Age Spirituality 137 New Song 138 Apostolic Church 139 Faith Christian 140 People's Church 141 New Birth Christian 142 Unity School of Christianity 143 Assyrian Evangelist Church 144 Spirit of Christ 145 Church of Jesus Christ of the Restoration 146 Laotian Christian 148 Schwenkfelder 150 Zwinglian 151 World Overcomer Outreach Ministry 152 Course in Miracles 153 Unity of the Brethren 154 Spirit Filled 155 Christian Union 156 Church of Living Christ 157 Community of Christ 158 New Hope Christian Fellowship 159 Community Christian Fellowship 160 Friends in Christ 161 Hawaiian Ohana 162 Reformed Church of Jesus Christ of Latter Day Saints 163 Swedenurgian/Churches of the New Jerusalem 164 Divine Science 165 Church of the Living God 166 United Christian 167 Sanctuary 168 Rain on Us Deliverance Ministries 169 The Word Church 170 Cornerstone Church 171 Life Sanctuary 172 Word of Faith Church 173 Harvest Church 174 Shephard's Chapel 175 Greater New Testament Church 176 Vineyard Church 177 Real Life Ministries 178 Cathedral of Joy 179 Great Faith Ministries 180 Shield of Faith Ministries 181 Born Again 182 Alliance 183 Jacobite Apostolic 184 Church of God of Israel 185 Journeys 186 National Progressive Baptist 187 New Apostolic 188 Metropolitan Community 189 Family Life Church 190 Faith Fellowship 191 Faith Covenant 192 New Thought 193 Free Spirit Ministry 194 Jacobite Syrian Christian Church 195 The Ark Church 998 DK 999 NA	404
SPJew16	Label: What sort of Jew was R's spouse at 16 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 8 DK 9 NA	405
SPFUND16	Label: How fundamentalist was spouse at 16 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FUNDAMENTALIST 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED	406
COREL	Label: Partner's religious preference Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 6 BUDDHISM 7 HINDUISM 8 OTHER EASTERN 9 MOSLEM/ISLAM 10 ORTHODOX-CHRISTIAN 11 CHRISTIAN 12 NATIVE AMERICAN 13 INTER-NONDENOMINATIONAL 98 DK 99 NA	407
CODEN	Label: Partner's denomination Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 26 MENNONITE 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTH 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN US 42 OTHER PRESBYTERIAN 43 PRESBYTERIAN, MERGED 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER-SPECIFY 70 NO DENOMINATION 98 DK 99 NA	408
COOTHER	Label: Other protestant denominations Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 1 Hungarian Reformed 2 Evangelical Congregational 3 Ind Bible, Bible, Bible Fellowship 5 Church of Prophecy 6 New Testament Christian 7 Church of God, Saint & Christ 8 Moravian 9 Christian & Missionary Alliance 10 Advent Christian 11 Spiritualist 12 Assembly of God 13 Free Methodist 14 Apostolic Faith 15 African Methodist 16 Free Will Baptist 17 Eden Evangelist 18 Holiness (Nazarene) 19 Baptist (Northern) 20 Brethren Church, Brethren 21 Witness Holiness 22 Brethren, Plymouth 23 United Brethren, United Brethren in Christ 24 Independent 25 Christian Disciples 26 Christ in Christian Union 27 Open Bible 28 Christian Catholic 29 Christ Church Unity 30 Christ Adelphians 31 Christian; Central Christian 32 Christian Reform 33 Christian Scientist 34 Church of Christ, Evangelical 35 Church of Christ 36 Churches of God(Except with Christ and Holiness) 37 Church of God in Christ 38 Church of God in Christ Holiness 39 Church of the Living God 40 Congregationalist, 1st Congreg 41 Community Church 42 Covenant 43 Dutch Reform 44 Disciples of Christ 45 Evangelical, Evangelist 46 Evangelical Reformed 47 Evangelist Free Church 48 First Church 49 First Christian Disciples of Christ 50 First Reformed 51 First Christian 52 Full Gospel 53 Four Square Gospel 54 Friends 55 Holy Roller 56 Holiness; Church of Holiness 57 Pilgrim Holiness 58 Jehovah's Witnesses 59 LDS 60 LDS--Mormon 61 LDS--Reorganized 62 LDS--Jesus Christ; Church of Jesus LDS 63 Mennonite 64 Mormon 65 Nazarene 66 Pentecostal Assembly of God 67 Pentecostal Church of God 68 Pentecostal 69 Pentecostal Holiness, Holiness Pentecostal 70 Quaker 71 Reformed 72 Reformed United Church of Christ 73 Reformed Church of Christ 74 Religious Science 75 Mind Science 76 Salvation Army 77 7th Day Adventist 78 Sanctified, Sanctification 79 United Holiness 80 Unitarian, Universalist 81 United Church of Christ 82 United Church, Unity Church 83 Wesleyan 84 Wesleyan Methodist--Pilgrim 85 Zion Union 86 Zion Union Apostolic 87 Zion Union Apostolic--Reformed 88 Disciples of God 89 Grace Reformed 90 Holiness Church of God 91 Evangelical Covenant 92 Mission Covenant 93 Missionary Baptist 94 Swedish Mission 95 Unity 96 United Church of Christianity 97 Other Fundamentalist 98 Federated Church 99 American Reform 100 Grace Brethren 101 Christ in God 102 Charismatic 103 Pentecostal Apostolic 104 House of Prayer 105 Latvian Lutheran 106 Triumph Church of God 107 Apostolic Christian 108 Christ Cathedral of Truth 109 Bible Missionary 110 Calvary Bible 111 Amish 112 Evangelical Methodist 113 Worldwide Church of God 114 Church Universal and Triumphant 115 Mennonite Brethren 116 Church of the First Born 117 Missionary Church 118 The Way Ministry 119 United Church of Canada 120 Evangelical United Brethren 121 The Church of God of Prophecy 122 Chapel of Faith 123 Polish National Church 124 Faith Gospel Tabernacle 125 Christian Calvary Chapel 126 Carmelite 127 Church of Daniel's Band 128 Christian Tabernacle 129 Living Word 130 True Light Church of Christ 131 Macedonia 132 Brother of Christ 133 Primitive Baptist 134 Independent Fundamental Church of America 135 Chinese Gospel Church 136 New Age Spirituality 137 New Song 138 Apostolic Church 139 Faith Christian 140 People's Church 141 New Birth Christian 142 Unity School of Christianity 143 Assyrian Evangelist Church 144 Spirit of Christ 145 Church of Jesus Christ of the Restoration 146 Laotian Christian 148 Schwenkfelder 149 Polish Catholic 150 Zwinglian 151 World Overcomer Outreach Ministry 152 Course in Miracles 153 Unity of the Brethren 154 Spirit Filled 155 Christian Union 156 Church of Living Christ 157 Community of Christ 158 New Hope Christian Fellowship 159 Community Christian Fellowship 160 Friends in Christ 161 Hawaiian Ohana 162 Reformed Church of Jesus Christ of Latter Day Saints 163 Swedenurgian/Churches of the New Jerusalem 164 Divine Science 165 Church of the Living God 166 United Christian 167 Sanctuary 168 Rain on Us Deliverance Ministries 169 The Word Church 170 Cornerstone Church 171 Life Sanctuary 172 Word of Faith Church 173 Harvest Church 174 Shephard's Chapel 175 Greater New Testament Church 176 Vineyard Church 177 Real Life Ministries 178 Cathedral of Joy 179 Great Faith Ministries 180 Shield of Faith Ministries 181 Born Again 182 Alliance 183 Jacobite Apostolic 184 Church of God of Israel 185 Journeys 186 National Progressive Baptist 187 New Apostolic 188 Metropolitan Community 189 Family Life Church 190 Faith Fellowship 191 Faith Covenant 192 New Thought 193 Free Spirit Ministry 194 Jacobite Syrian Christian Church 195 The Ark Church 196 Empowerment Temple 197 Grace Independent Baptist Church 198 New Life 199 Follower of Christ 200 North Country Chapel 201 Pathways Christian Church 202 Messianic Christian 203 Warehouse Ministries 204 Universal Church of the Kingdom of God 205 Assembly of Christ 206 The Amana Church 207 The Legacy Church 208 Calvary 209 Church of the Living God 998 DK 999 NA	409
COJew	Label: What sort of Jew Is R's partner currently Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 8 DK 9 NA	410
COFUND	Label: How fundamentalist is partner's current religion Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FUNDAMENTALIST 2 MODERATE 3 LIBERAL 8 DK 9 NA-excluded	411
TITHING	Label: How much Does R give to religion Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99995 TITHES, AMT. NOT GIVEN 99996 99996 OR MORE 99997 REFUSED 99998 DK 99999 NA	412
PRAYER	Label: Bible prayer in public schools Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 APPROVE 2 DISAPPROVE 8 DK 9 NA	413
PRAYERY	Label: Bible prayer in schools-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REQUIRED 2 FORBIDDEN 3 LOCAL DECISION 8 DK 9 NA	414
PRAYERX	Label: Bible prayer in schools:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PRAYER READ DAILY 2 SILENT MEDITATION 3 NO PRAYERS 4 OTHER 8 DK 9 NA	415
BIBLE	Label: Feelings about the bible Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORD OF GOD 2 INSPIRED WORD 3 BOOK OF FABLES 4 OTHER 8 DK 9 NA	416
BIBLEY	Label: Feelings about the bible:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOD'S WORD 2 INSPIRED BY GOD 3 WRITTEN BY MAN 4 NOT WORTH MUCH 5 OTHER 8 DK 9 NA	417
WORLD1	Label: World image:much evil vs. much good Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORLD IS EVIL 7 WORLD IS GOOD 8 DK 9 NA	418
WORLD2	Label: World image:the good must act vs. not Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 THE GOOD MUST ACT 7 GOOD MUST BEWARE 8 DK 9 NA	419
WORLD3	Label: World image:god not here vs. here Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOD NOT HERE 7 GOD IS HERE 8 DK 9 NA	420
WORLD4	Label: World image:man is good vs. corrupt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PEOPLE ARE GOOD 7 PEOPLE ARE EVIL 8 DK 9 NA	421
WORLD5	Label: World image:arts are good vs. not Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ARTS CAN BE HOLY 7 ARTS CAN BE EVIL 8 DK 9 NA	422
WORLD6	Label: World image:chaos vs. harmony Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORLD IS CHAOTIC 7 WORLD IS HARMONIOUS 8 DK 9 NA	423
WORLD7	Label: World image:ach. reveals god vs. not Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ACTION REVEALS GOD 7 MOST ACTS ARE VAIN 8 DK 9 NA	424
LIBTEMP	Label: Feeling thermometer:liberals Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	425
CONTEMP	Label: Feeling thermometer:conservatives Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	426
PROTTEMP	Label: Feeling thermometer:protestants Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	427
CATHTEMP	Label: Feeling thermometer:catholics Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	428
JewTEMP	Label: Feeling thermometer:Jews Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	429
MSLMTEMP	Label: Feeling thermometer:muslims Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	430
FEPRIEST	Label: R favors women as priests Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 DISAGREE SOMEWHAT 4 DISAGREE STRONGLY 8 NO OPINION 9 NA	431
FECLERGY	Label: R favors women as ministers Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAVOR 2 OPPOSE 8 NO OPINION 9 NA	432
RELGRADE	Label: Grade given religion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A 2 B 3 C 4 D 5 F 6 NO RELIGION 8 DK 9 NA	433
RACMAR	Label: Favor law against racial intermarriage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	434
RACMAR10	Label: Favor law against rac intrmar 10 yrs ago Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	435
RACDIN	Label: Object to opp. race home for dinner Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY OBJECT 2 MILDLY OBJECT 3 NOT OBJECT 8 DK 9 NA	436
RACPUSH	Label: Blacks shouldn't push Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SLIGHTLY 3 DISAGREE SLIGHTLY 4 DISAGREE STRONGLY 8 DK 9 NA	437
RACSEG	Label: Whites have right to seg. neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SLIGHTLY 3 DISAGREE SLIGHTLY 4 DISAGREE STRONGLY 8 DK 9 NA	438
RACOPEN	Label: Vote on open housing law Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OWNER DECIDES 2 CANT DISCRIMINATE 3 NEITHER 8 DK 9 NA	439
RACLIVE	Label: Any opp. race in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	440
RACCLOS	Label: Any opp. race living close to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	441
RACDIS	Label: How far are closest opp. race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SAME BLOCK 2 1-3 BLKS AWAY 3 4-8 BLKS AWAY 4 OVER 8 BLKS 8 DK 9 NA	442
RACINTEG	Label: Will neighborhood become all black Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL BLACK 2 STAY INTEGRATED 3 MIXED,NOT WH-BL 8 DK 9 NA	443
RACOBJCT	Label: Neighborhood integrated by same ses Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES,WOULD LIKE IT 2 YES,WOULD NOT LIKE 3 NO DIFFERENCE 8 DK 9 NA	444
RACHOME	Label: Opp. race home for dinner recently Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	445
RACSCHOL	Label: Should whites & blacks go to same school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SAME SCHOOLS 2 SEPARATE SCHOOLS 8 DK 9 NA	446
RACFEW	Label: Children to school with opposite race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, OBJECT 2 NO 8 DK 9 NA	447
RACHAF	Label: Children to school half opposite race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, OBJECT 2 NO 8 DK 9 NA	448
RACMOST	Label: Children to school mostly opposite race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, OBJECT 2 NO 8 DK 9 NA	449
BUSING	Label: Attitude toward racial busing Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAVOR 2 OPPOSE 8 DK 9 NA	450
BUSING10	Label: Favor busing 10 yrs ago Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAVOR 2 OPPOSE 8 DK 9 NA	451
RACPRES	Label: Would vote for black president Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	452
RACJOB	Label: Equal opportunities on jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AS GOOD A CHANCE 2 WHITES FIRST 8 DK 9 NA	453
RACCHURH	Label: Attend church with other race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 3 THRU HIGHEST; 0 Value Label 0 IAP 1 YES 2 NO 3 NO CHURCH 8 DK 9 NA	454
COLOR	Label: R's skin color Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY DARK BROWN 2 DARK BROWN 3 MEDIUM BROWN 4 LIGHT BROWN 5 VERY LIGHT BROWN 8 DK 9 NA	455
RACNAME	Label: Preferred racial name Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BLACK 2 NEGRO 3 COLORED 4 AFRO-AMERICAN 8 MAKES NO DIFFERENCE 9 NA	456
RACHISCH	Label: How integrated was R's high school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 DIDNT GO TO HS 1 ALL BLACK 2 MOSTLY BLACK 3 MOSTLY WHITE 8 DK 9 NA	457
RACMIX	Label: How many friends are white Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NONE 2 ONE OR TWO 3 THREE OR MORE 8 DK 9 NA	458
RACNEIGH	Label: Neighborhood R would like to live in Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL BLACK 2 MOSTLY BLACK 3 .5 BLACK - .5 WHITE 4 MOSTLY WHITE 8 DK 9 NA	459
RACNOBUY	Label: Ever boycott certain products Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	460
RACTRUST	Label: Trust white people Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST WHITE PEOPLE 2 SOME WHITE PEOPLE 3 NO WHITE PEOPLE 8 DK 9 NA	461
RACPARTY	Label: Which party helps blacks more Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPUBLICAN PARTY 2 DEMOCRATIC PARTY 3 NOT MUCH DIFFERENCE 8 DK 9 NA	462
RACOCC	Label: Equality in occupation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST ALWAYS 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA	463
RACINC	Label: Equality in income Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST ALWAYS 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA	464
RACOPNOW	Label: Opportunities improved in last 5 yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IMPROVED 2 REMAINED SAME 3 GOTTEN WORSE 8 DK 9 NA	465
RACOPWIL	Label: Opportunities improve in next 5 yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IMPROVE 2 REMAIN SAME 3 GET WORSE 8 DK 9 NA	466
RACIMP	Label: Importance of race relations issues to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMP AT ALL 8 DK 9 NA	467
RACINFO	Label: How much info does R have on race issues Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL INFO R NEEDS 2 MOST INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA	468
RACFIRM	Label: How firm Is R's opinion on racial issues Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY TO CHANG 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 VERY UNLIKELY TO CHA 8 DK 9 NA	469
RACCARE	Label: R's concern about racial issues Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY CONCERNED 2 SOMEWHAT CONCERNED 3 NOT VERY CONCERNED 4 NOT CONCERNED AT ALL 8 DK 9 NA	470
RACTHINK	Label: How often R & friends think about race issues Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 OCCASIONALLY 4 ALMOST NEVER 8 DK 9 NA	471
RACWRITE	Label: R ever written official abt race issues Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	472
RACGIVE	Label: Has R given money to racial orgs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	473
RACJOIN	Label: Ever joined org working on racial issues Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	474
AFFRMACT	Label: Favor preference in hiring blacks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY SUPPORT PREF 2 SUPPORT PREF 3 OPPOSE PREF 4 STRONGLY OPPOSE PREF 8 DK 9 NA	475
WRKWAYUP	Label: Blacks overcome prejudice without favors Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE SOMEWHAT 5 DISAGREE STRONGLY 8 DK 9 NA	476
BLKSIMP	Label: Have conditions for blacks improved Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IMPROVED 2 GOTTEN WORSE 3 ABOUT THE SAME 8 DK 9 NA	477
CLOSEBLK	Label: How close feel to blacks Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NOT AT ALL CLOSE 5 NEITHER ONE OR THE OTHER 9 VERY CLOSE 98 DK 99 NA	478
CLOSEWHT	Label: How close feel to whites Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NOT AT ALL CLOSE 5 NEITHER ONE OR THE OTHER 9 VERY CLOSE 98 DK 99 NA	479
ALIENAT1	Label: People running country don't care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FEEL 2 NOT FEEL 8 DK 9 NA	480
ALIENAT2	Label: Rich get richer, poor poorer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FEEL 2 NOT FEEL 8 DK 9 NA	481
ALIENAT3	Label: What you think doesn't count Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FEEL 2 NOT FEEL 8 DK 9 NA	482
ALIENAT4	Label: You're left out of things Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FEEL 2 NOT FEEL 8 DK 9 NA	483
ALIENAT5	Label: Powerful people take advantage of you Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FEEL 2 NOT FEEL 8 DK 9 NA	484
ALIENAT6	Label: People in Wash D.C. are out of touch Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FEEL 2 NOT FEEL 8 DK 9 NA	485
HAPPY	Label: General happiness Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY HAPPY 2 PRETTY HAPPY 3 NOT TOO HAPPY 8 DK 9 NA	486
HAPMAR	Label: Happiness of marriage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY HAPPY 2 PRETTY HAPPY 3 NOT TOO HAPPY 8 DK 9 NA	487
HAPCOHAB	Label: Happiness of relt with partner Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very happy 2 Pretty happy 3 Not too happy 8 DON'T KNOW 9 No answer	488
HEALTH	Label: Condition of health Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXCELLENT 2 GOOD 3 FAIR 4 POOR 8 DK 9 NA	489
LIFE	Label: Is life exciting or dull Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXCITING 2 ROUTINE 3 DULL 8 DK 9 NA	490
HELPFUL	Label: People helpful or looking out for selves Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HELPFUL 2 LOOKOUT FOR SELF 3 DEPENDS 8 DK 9 NA	491
FAIR	Label: People fair or try to take advantage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TAKE ADVANTAGE 2 FAIR 3 DEPENDS 8 DK 9 NA	492
TRUST	Label: Can people be trusted Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CAN TRUST 2 Can't be too careful 3 DEPENDS 8 DK 9 NA	493
TRUSTY	Label: Can people be trusted-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	494
TRUST1	Label: Can people be trusted (see Codebook) Format: F8.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Can trust 2 Need to be very careful 8 DK 9 NA	495
SATCITY	Label: City or place R lives in Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY GREAT DEAL 2 GREAT DEAL 3 QUITE A BIT 4 A FAIR AMOUNT 5 SOME 6 A LITTLE 7 NONE 8 DK 9 NA	496
SATHOBBY	Label: Non-working activities, hobbies Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY GREAT DEAL 2 GREAT DEAL 3 QUITE A BIT 4 A FAIR AMOUNT 5 SOME 6 A LITTLE 7 NONE 8 DK 9 NA	497
SATFAM	Label: Family life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY GREAT DEAL 2 GREAT DEAL 3 QUITE A BIT 4 A FAIR AMOUNT 5 SOME 6 A LITTLE 7 NONE 8 DK 9 NA	498
SATFRND	Label: Friendships Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY GREAT DEAL 2 GREAT DEAL 3 QUITE A BIT 4 A FAIR AMOUNT 5 SOME 6 A LITTLE 7 NONE 8 DK 9 NA	499
SATHEALT	Label: Health and physical condition Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY GREAT DEAL 2 GREAT DEAL 3 QUITE A BIT 4 A FAIR AMOUNT 5 SOME 6 A LITTLE 7 NONE 8 DK 9 NA	500
CONFINAN	Label: Confid in banks & financial institutions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA	501
CONBUS	Label: Confidence in major companies Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA	502
CONCLERG	Label: Confidence in organized religion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA	503
CONEDUC	Label: Confidence in education Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA	504
CONFED	Label: Confid. in exec branch of fed govt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA	505
CONLABOR	Label: Confidence in organized labor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA	506
CONPRESS	Label: Confidence in press Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA	507
CONMEDIC	Label: Confidence in medicine Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA	508
CONTV	Label: Confidence in television Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA	509
CONJUDGE	Label: Confid. in united states supreme court Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA	510
CONSCI	Label: Confidence in scientific community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA	511
CONLEGIS	Label: Confidence in congress Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA	512
CONARMY	Label: Confidence in military Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA	513
CONFINAY	Label: Banks & financial institutions:Ver Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA	514
CONBUSY	Label: Major companies:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA	515
CONCLERY	Label: Organized religion:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA	516
CONEDUCY	Label: Education:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA	517
CONFEDY	Label: Exec branch fed govt:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA	518
CONLABOY	Label: Organized labor:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA	519
CONPRESY	Label: Press:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA	520
CONMEDIY	Label: Medicine:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA	521
CONTVY	Label: Television:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA	522
CONJUDGY	Label: United states supreme court:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA	523
CONSCIY	Label: Scientific community:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA	524
CONLEGIY	Label: Congress:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA	525
CONARMYY	Label: Military:Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA	526
MANNERS	Label: Good manners Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	527
SUCCESS	Label: Tries hard to succeed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	528
HONEST	Label: Honest Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	529
CLEAN	Label: Neat and clean Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	530
JUDGMENT	Label: Good sense and sound judgment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	531
CONTROL	Label: Self-control Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	532
ROLE	Label: Acts like boy-acts like girl Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	533
AMICABLE	Label: Gets along well with other children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	534
OBEYS	Label: Obeys parents well Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	535
RESPONSI	Label: Responsible Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	536
CONSIDER	Label: Considerate of others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	537
INTEREST	Label: Interested how and why things happen Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	538
STUDIOUS	Label: Good student Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	539
MANNERSY	Label: Good manners-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	540
SUCCESSY	Label: Tries hard to succeed-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	541
HONESTY	Label: Honest-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	542
CLEANY	Label: Neat and clean-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	543
JUDGMENY	Label: Good sense, sound judgment-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	544
CONTROLY	Label: Self-control-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	545
ROLEY	Label: Acts like boy-acts like girl-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	546
AMICABLY	Label: Gets along with other children-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	547
OBEYSY	Label: Obeys parents well-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	548
RESPONSY	Label: Responsible-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	549
CONSIDEY	Label: Considerate of others-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	550
INTERESY	Label: Interested how things happen-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	551
STUDIOUY	Label: Good student-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA	552
MANNERSZ	Label: Good manners-Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA	553
SUCCESSZ	Label: Tries hard to succeed-Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA	554
HONESTZ	Label: Honest-Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA	555
CLEANZ	Label: Neat and clean-Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA	556
JUDGMENZ	Label: Good sense, sound judgment-Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA	557
CONTROLZ	Label: Self-control-Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA	558
ROLEZ	Label: Acts like boy-acts like girl-Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA	559
AMICABLZ	Label: Gets along with other children-Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA	560
OBEYSZ	Label: Obeys parents well-Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA	561
RESPONSZ	Label: Responsible-Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA	562
CONSIDEZ	Label: Considerate of others-Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA	563
INTERESZ	Label: Interested how things happen-Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA	564
STUDIOUZ	Label: Good student-Version Z Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA	565
OBEY	Label: To obey Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT 2 2ND IMPORTANT 3 3RD IMPORTANT 4 4TH IMPORTANT 5 LEAST IMPORTANT 8 DK 9 NA	566
POPULAR	Label: To be well liked or popular Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT 2 2ND IMPORTANT 3 3RD IMPORTANT 4 4TH IMPORTANT 5 LEAST IMPORTANT 8 DK 9 NA	567
THNKSELF	Label: To think for ones self Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT 2 2ND IMPORTANT 3 3RD IMPORTANT 4 4TH IMPORTANT 5 LEAST IMPORTANT 8 DK 9 NA	568
WORKHARD	Label: To work hard Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT 2 2ND IMPORTANT 3 3RD IMPORTANT 4 4TH IMPORTANT 5 LEAST IMPORTANT 8 DK 9 NA	569
HELPOTH	Label: To help others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT 2 2ND IMPORTANT 3 3RD IMPORTANT 4 4TH IMPORTANT 5 LEAST IMPORTANT 8 DK 9 NA	570
CHLDSEX	Label: Qualities for boys or girls Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOSTLY BOYS 2 MOSTLY GIRLS 3 BOTH EQUALLY 8 DK 9 NA	571
CHLDSEX1	Label: Qualities for boys or girls:variant Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOSTLY BOYS 2 MOSTLY GIRLS 3 BOTH EQUALLY 8 DK 9 NA	572
YOUNGEN	Label: What should younger generation be taught Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WHAT ELDERS THINK 2 THINK FOR SELVES 8 DK 9 NA	573
SOCREL	Label: Spend evening with relatives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label -1 0 IAP 1 ALMOST DAILY 2 SEV TIMES A WEEK 3 SEV TIMES A MNTH 4 ONCE A MONTH 5 SEV TIMES A YEAR 6 ONCE A YEAR 7 NEVER 8 DK 9 NA	574
SOCOMMUN	Label: Spend evening with neighbor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label -1 0 IAP 1 ALMOST DAILY 2 SEV TIMES A WEEK 3 SEV TIMES A MNTH 4 ONCE A MONTH 5 SEV TIMES A YEAR 6 ONCE A YEAR 7 NEVER 8 DK 9 NA	575
SOCFREND	Label: Spend evening with friends Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label -1 0 IAP 1 ALMOST DAILY 2 SEV TIMES A WEEK 3 SEV TIMES A MNTH 4 ONCE A MONTH 5 SEV TIMES A YEAR 6 ONCE A YEAR 7 NEVER 8 DK 9 NA	576
SOCBAR	Label: Spend evening at bar Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label -1 0 IAP 1 ALMOST DAILY 2 SEV TIMES A WEEK 3 SEV TIMES A MNTH 4 ONCE A MONTH 5 SEV TIMES A YEAR 6 ONCE A YEAR 7 NEVER 8 DK 9 NA	577
SOCPARS	Label: Spend evening with parents Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO SUCH PEOPLE 1 ALMOST DAILY 2 SEV TIMES A WEEK 3 SEV TIMES A MNTH 4 ONCE A MONTH 5 SEV TIMES A YEAR 6 ONCE A YEAR 7 NEVER 8 DK 9 NA	578
SOCSIBS	Label: Spend evening with siblings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO SUCH PEOPLE 1 ALMOST DAILY 2 SEV TIMES A WEEK 3 SEV TIMES A MNTH 4 ONCE A MONTH 5 SEV TIMES A YEAR 6 ONCE A YEAR 7 NEVER 8 DK 9 NA	579
AGED	Label: Should aged live with their children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GOOD IDEA 2 A BAD IDEA 3 DEPENDS 8 DK 9 NA	580
AGEDPAR	Label: Should aged live with their children Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A good idea 2 A bad idea 3 It depends 8 Don't know 9 No Answer	581
AGEDCHLD	Label: Should grown children live with parents Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A good idea 2 A bad idea 3 It depends 8 Don't know 9 No Answer	582
WEEKSWRK	Label: Weeks R worked last year Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	583
PARTFULL	Label: Was R's work part-time or full-time? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FULL-TIME 2 PART-TIME 8 DK 9 NA	584
DRINK	Label: Ever drink alcoholic beverages? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	585
DRUNK	Label: Ever drink too much? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	586
SMOKE	Label: Does R smoke Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	587
QUITSMK	Label: Ever tried to quit smoking Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	588
SMOKECIG	Label: Does R smoke cigarettes Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	589
CIGWEEK	Label: Has R smoked cigarettes in last week Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	590
EVSMOKE	Label: Has R ever smoked Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	591
ANOMIA1	Label: Next to health, money is most important Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	592
ANOMIA2	Label: Wonder if anything is worthwhile Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	593
ANOMIA3	Label: No right & wrong ways to make money Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	594
ANOMIA4	Label: Live only for today Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	595
ANOMIA5	Label: Lot of the average man getting worse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	596
ANOMIA6	Label: Not fair to bring child into world Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	597
ANOMIA7	Label: Officials not interested in average man Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	598
ANOMIA8	Label: Don't know whom to trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	599
ANOMIA9	Label: Most don't care what happens to others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	600
JOBLOSE	Label: Is R likely to lose job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 FAIRLY LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY 5 LEAVING LABOR FORCE 8 DK 9 NA	601
JOBFIND	Label: Could R find equally good job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY EASY 2 SOMEWHAT EASY 3 NOT EASY 8 DK 9 NA	602
SATJOB	Label: Work satisfaction Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY SATISFIED 2 MOD. SATISFIED 3 A LITTLE DISSAT 4 VERY DISSATISFIED 8 DK 9 NA	603
SATJOBHV	Label: Job satisfaction Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very satisfied 2 Moderately satisfied 3 A little dissatisfied 4 Very dissatisfied 8 Don't know 9 No Answer	604
RICHWORK	Label: If rich, continue or stop working Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CONTINUE WORKING 2 STOP WORKING 8 DK 9 NA	605
JOBINC	Label: High income Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPT 2 SECOND 3 THIRD 4 FOURTH 5 FIFTH 8 DK 9 NA	606
JOBSEC	Label: No danger of being fired Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPT 2 SECOND 3 THIRD 4 FOURTH 5 FIFTH 8 DK 9 NA	607
JOBHOUR	Label: Short working hours Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPT 2 SECOND 3 THIRD 4 FOURTH 5 FIFTH 8 DK 9 NA	608
JOBPROMO	Label: Chances for advancement Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPT 2 SECOND 3 THIRD 4 FOURTH 5 FIFTH 8 DK 9 NA	609
JOBMEANS	Label: Work important and feel accomplishment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPT 2 SECOND 3 THIRD 4 FOURTH 5 FIFTH 8 DK 9 NA	610
JOBKEEP	Label: Job security Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	611
JOBPAY	Label: High income Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	612
JOBRISE	Label: Opportunity for advancement Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	613
JOBHONOR	Label: Occupation is recognized and respected Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	614
JOBOFF	Label: Leaves time for leisure Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	615
JOBINTER	Label: Interesting work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	616
JOBINDEP	Label: Allows one to work independently Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	617
JOBRESP	Label: Responsible job tasks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	618
JOBPEOP	Label: Contact with other people Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	619
JOBHELP	Label: Can help others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	620
JOBSOC	Label: Useful to society Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	621
JOBACCMP	Label: Doing something meaningful Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	622
JOBSAFE	Label: Safe conditions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	623
CLASS	Label: Subjective class identification Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LOWER CLASS 2 WORKING CLASS 3 MIDDLE CLASS 4 UPPER CLASS 5 NO CLASS 8 DK 9 NA	624
CLASSY	Label: Subjective social class-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LOWER CLASS 2 WORKING CLASS 3 MIDDLE CLASS 4 UPPER MIDDLE CLASS 5 UPPER CLASS 8 DK 9 NA	625
RANK	Label: R's self ranking of social position Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 TOP 10 BOTTOM 98 DK 99 NA	626
RANK10	Label: R's social rank 10 years ago Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99	627
SATFIN	Label: Satisfaction with financial situation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SATISFIED 2 MORE OR LESS 3 NOT AT ALL SAT 8 DK 9 NA	628
FINALTER	Label: Change in financial situation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BETTER 2 WORSE 3 STAYED SAME 8 DK 9 NA	629
FINRELA	Label: Opinion of family income Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAR BELOW AVERAGE 2 BELOW AVERAGE 3 AVERAGE 4 ABOVE AVERAGE 5 FAR ABOVE AVERAGE 8 DK 9 NA	630
INCNEED	Label: Income family needs Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99997 DEPENDS 99998 DK 99999 NA 999997 DEPENDS 999998 DK 999999 NA	631
MININC	Label: Minimum amount of income needed per week Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 997 $997+ PER WEEK 998 DK 999 NA	632
WKSUB	Label: Does R or spouse have supervisor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	633
WKSUBS	Label: Does supervisor have supervisor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 3 YES 4 NO 8 DK 9 NA	634
WKSUB1	Label: Does R or spouse or partneR have a supervisor Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	635
WKSUBS1	Label: Does supervisor have supervisor Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 3 YES 4 NO 8 DK 9 NA	636
WKSUP	Label: Does R or spouse supervise anyone Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	637
WKSUPS	Label: Does subordinate supervise anyone Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 3 YES 4 NO 8 DK 9 NA	638
WKSUP1	Label: Does R or spouse or partner supervise anyone Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	639
WKSUPS1	Label: Does subordinant supervise anyone Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 3 YES 4 NO 8 DK 9 NA	640
UNEMP	Label: Ever unemployed in last ten yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	641
GOVAID	Label: Ever receive welfare, unemp insur, etc. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	642
GETAID	Label: Ever received welfare? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	643
UNION	Label: Does R or spouse belong to union Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 R BELONGS 2 SPOUSE BELONGS 3 R AND SPOUSE BELONG 4 NEITHER BELONGS 8 DK 9 NA	644
UNION1	Label: Does R or spouse or partner belong to union Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 R BELONGS 2 SPOUSE OR PARTNER BELONGS 3 R AND SPOUSE OR PARTNER BELONG 4 NEITHER BELONGS 8 DK 9 NA	645
GETAHEAD	Label: Opinion of how people get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HARD WORK 2 BOTH EQUALLY 3 LUCK OR HELP 4 OTHER 8 DK 9 NA	646
PARSOL	Label: R's living standard compared to parents Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 SOMEWHAT BETTER 3 ABOUT THE SAME 4 SOMEWHAT WORSE 5 MUCH WORSE 8 DK 9 NA	647
KIDSSOL	Label: R's kids living standard compared to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 SOMEWHAT BETTER 3 ABOUT THE SAME 4 SOMEWHAT WORSE 5 MUCH WORSE 6 NO CHILDREN -VOLUNTEERED- 8 DK 9 NA	648
FEHOME	Label: Women take care of home not country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 NOT SURE 9 NA	649
FEWORK	Label: Should women work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 APPROVE 2 DISAPPROVE 8 DK 9 NA	650
FEPRES	Label: Vote for woman president Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 5 WOULDNT VOTE 8 DK 9 NA	651
FEPOL	Label: Women not suited for politics Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 NOT SURE 9 NA	652
FEPOLY	Label: Men or women better suited for politics Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MEN 2 EQUAL 3 WOMEN 8 DK 9 NA	653
FEIMP	Label: Importance of women's rights issue to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMP AT ALL 8 DK 9 NA	654
FEINFO	Label: How much info R has on women's rgts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL INFO R NEEDS 2 MOST INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA	655
FEFIRM	Label: How firm Is R's opinion on women's rghts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA	656
FECARE	Label: R's concern about women's rights Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY CONCERNED 2 SOMEWHAT CONCERNED 3 NOT VERY CONCERNED 4 NOT CONCERNED AT ALL 8 DK 9 NA	657
FETHINK	Label: How oft R & frnds think abt women's rgts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 OCCASIONALLY 4 ALMOST NEVER 8 DK 9 NA	658
FEWRITE	Label: R ever written official abt women's rgts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	659
FEGIVE	Label: Has R given money to women's rights orgs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	660
FEJOIN	Label: Ever joined org working on women's rgts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	661
ABDEFECT	Label: Strong chance of serious defect Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	662
ABNOMORE	Label: Married--wants no more children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	663
ABHLTH	Label: Woman's health seriously endangered Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	664
ABPOOR	Label: Low income--cant afford more children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	665
ABRAPE	Label: Pregnant as result of rape Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	666
ABSINGLE	Label: Not married Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	667
ABANY	Label: Abortion if woman wants for any reason Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	668
ABORCT	Label: Heard supreme court decision on abortion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	669
ABPRO1	Label: 1st argument for abortion Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 99 Value Label 0 IAP 96 None 99 NA	670
ABPRO2	Label: 2nd argument for abortion Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 99 Value Label 0 IAP 99 NA	671
ABPRO3	Label: 3rd argument for abortion Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 99 Value Label 0 IAP 99 NA	672
ABCON1	Label: 1st argument against abortion Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 99 Value Label 0 IAP 96 None 99 NA	673
ABCON2	Label: 2nd argument against abortion Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 99 Value Label 0 IAP 99 NA	674
ABCON3	Label: 3rd argument against abortion Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 99 Value Label 0 IAP 99 NA	675
ABIMP	Label: Importance of abortion issue to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMP AT ALL 8 DK 9 NA	676
ABINFO	Label: How much info does R have on abortion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL INFO R NEEDS 2 MOST INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA	677
ABFIRM	Label: How firm is R's opinion on abortion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA	678
ABCARE	Label: How concerned is R about abortion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY CONCERNED 2 SOMEWHAT CONCERNED 3 NOT VERY CONCERNED 4 NOT CONCERNED AT ALL 8 DK 9 NA	679
CHLDIDEL	Label: Ideal number of children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 7 SEVEN+ 8 AS MANY AS WANT 9 DK,NA	680
CHLDMORE	Label: Expect more children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 UNCERTAIN 4 INAPPROPRIATE 9 NA	681
CHLDNUM	Label: How many children expected Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 8 8 OR MORE 9 DK,NA	682
CHLDSOON	Label: Children expected in 5 years Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	683
PILL	Label: Birth control information Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AVAILABLE 2 NOT AVAILABLE 8 DK 9 NA	684
TEENPILL	Label: Birth control information to teens Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AVAILABLE 2 NOT AVAILABLE 3 DEPENDS ON AGE 8 DK 9 NA	685
PILLOK	Label: Birth control to teenagers 14-16 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	686
SEXEDUC	Label: Sex education in public schools Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAVOR 2 OPPOSE 3 DEPENDS 8 DK 9 NA	687
DIVLAW	Label: Divorce laws Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EASIER 2 MORE DIFFICULT 3 STAY SAME 8 DK 9 NA	688
DIVLAWY	Label: Divorce laws-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EASIER 2 MORE DIFFICULT 3 STAY SAME 8 DK 9 NA	689
SPDUE	Label: Ever entitled to alimony or chld support Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	690
SPPAID	Label: Regularly received alimony - chld supprt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REGULAR BASIS 2 OCCASIONALLY 3 NOT AT ALL 8 DK 9 NA	691
PREMARSX	Label: Sex before marriage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS WRONG 2 ALMST ALWAYS WRG 3 SOMETIMES WRONG 4 NOT WRONG AT ALL 5 OTHER 8 DK 9 NA	692
TEENSEX	Label: Sex before marriage:teens 14-16 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS WRONG 2 ALMST ALWAYS WRG 3 SOMETIMES WRONG 4 NOT WRONG AT ALL 5 OTHER 8 DK 9 NA	693
XMARSEX	Label: Sex with person other than spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS WRONG 2 ALMST ALWAYS WRG 3 SOMETIMES WRONG 4 NOT WRONG AT ALL 5 OTHER 8 DK 9 NA	694
HOMOSEX	Label: Homosexual sex relations Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS WRONG 2 ALMST ALWAYS WRG 3 SOMETIMES WRONG 4 NOT WRONG AT ALL 5 OTHER 8 DK 9 NA	695
HOMOCHNG	Label: Homosexuality: inherent or choice? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SOMETHING PEOPLE CHOOSE TO BE 2 SOMETHING THEY CANNOT CHANGE 8 DK 9 NA	696
PORNINF	Label: Materials provide info about sex Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	697
PORNMORL	Label: Materials lead to breakdown in morals Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	698
PORNRAPE	Label: Materials lead to rape Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	699
PORNOUT	Label: Materials provide outlet Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	700
PORNLAW	Label: Feelings about pornography laws Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ILLEGAL TO ALL 2 ILLEGAL UNDER 18 3 LEGAL 8 DK 9 NA	701
XMOVIE	Label: Seen x-rated movie in last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	702
XMOVIE1	Label: Seen porn film (theater or vcr) last yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	703
PORNIMP	Label: Importance of pornography issue to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMP AT ALL 8 DK 9 NA	704
PORNINFO	Label: How much info Does R have on porn issue Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL INFO R NEEDS 2 MOST INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA	705
PORNFIRM	Label: How firm Is R's opinion on porn issue Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA	706
SPANKING	Label: Favor spanking to discipline child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	707
LETDIE1	Label: Allow incurable patients to die Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	708
LETDIE2	Label: Let patients die if doctors agree Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	709
SUICIDE1	Label: Suicide if incurable disease Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	710
SUICIDE2	Label: Suicide if bankrupt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	711
SUICIDE3	Label: Suicide if dishonored family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	712
SUICIDE4	Label: Suicide if tired of living Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	713
SUINUM	Label: People R knows suicide over lifetime Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -3 NA -2 DON'T KNOW -1 IAP 95 1 or more, number unknown 98 DK 99 NA	714
SUINUM1	Label: People R knows suicide over lifetime Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Two or more people 2 One person 3 No people 8 DK 9 NA	715
SUIREL1	Label: R's relationship to closest suicide Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Husband or wife 2 Partner or lover 3 Son or daughter 4 Mother or father 5 Brother or sister 6 Step-brother or step-sister 7 Step-parent 8 Step-son or step-daughter 9 Cousin 10 Other relative 11 Friend 12 Neighbor 13 Co-worker 14 Patient 15 Acquaintance 16 Ex-spouse or ex-partner 17 18 Classmate 19 Relative of a friend 20 Student 21 Friend of a friend 30 Other 98 DK 99 NA	716
SUINEG1	Label: Did closest suicide negatively impact you Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, greatly 2 Yes, to some extent 3 Yes, but not much 4 No 5 Not sure 8 DK 9 NA	717
SUICLSE1	Label: How close were you to closest suicide victim Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not close at all 2 3 3 3. 4 5 Very close 5 5. Very close 8 DK 9 NA	718
SUITIME1	Label: How many years and months since closest suicide Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 RESPONDENT PROVIDES NUMBER OF MONTHS OR YEARS 2 RESPONDENT PROVIDES VERBATIM RESPONSE UNCODEABLE IN MONTHS/YEARS 8 DK 9 NA	719
SUIMTHS1	Label: How many months since closest suicide Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 No month given 98 DK 99 NA	720
SUIYRS1	Label: How many years since closest suicide Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	721
SUIREL2	Label: R's relationship to 2nd closest suicide Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Husband or wife 2 Partner or lover 3 Son or daughter 4 Mother or father 5 Brother or sister 6 Step-brother or step-sister 7 Step-parent 8 Step-son or step-daughter 9 Cousin 10 Other relative 11 Friend 12 Neighbor 13 Co-worker 14 Patient 15 Acquaintance 16 Ex-spouse or ex-partner 17 18 Classmate 19 Relative of a friend 20 Student 21 Friend of a friend 30 Other 98 DK 99 NA	722
SUINEG2	Label: Did 2nd closest suicide negatively impact you Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, greatly 2 Yes, to some extent 3 Yes, but not much 4 No 5 Not sure 8 DK 9 NA	723
SUICLSE2	Label: How close wereyou to 2nd closest suicide victim Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not close at all 2 3 3 3. 4 5 Very close 5 5. Very close 8 DK 9 NA	724
SUITIME2	Label: How many years and months since 2nd closest suicide Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 RESPONDENT PROVIDES NUMBER OF MONTHS OR YEARS 2 RESPONDENT PROVIDES VERBATIM RESPONSE UNCODEABLE IN MONTHS/YEARS 8 DK 9 NA	725
SUIMTHS2	Label: How many months since 2nd closest suicide Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 No month given 98 DK 99 NA	726
SUIYRS2	Label: How many years since 2nd closest suicide Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	727
STRIKE	Label: Picketing for labor strike Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	728
CIVRIGHT	Label: Civil rights demonstration Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	729
ANTIWAR	Label: Anti-war demonstration Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	730
PROWAR	Label: Pro-war demonstration Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	731
SCHOOL	Label: School related demonstration Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	732
HIT	Label: Ever punched or beaten by another person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	733
HITAGE	Label: Beaten as child or adult Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CHILD 2 ADULT 3 BOTH 8 DK 9 NA	734
HITNUM	Label: If beaten--how many times Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONCE 2 2-3 TIMES 3 4+ TIMES 8 NOT SURE 9 NA	735
GUN	Label: Ever threatened with gun or shot at Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	736
GUNAGE	Label: Threatened or shot at as child or adult Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CHILD 2 ADULT 3 BOTH 8 DK 9 NA	737
GUNNUM	Label: If threatened or shot at--how many times Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONCE 2 2-3 TIMES 3 4+ TIMES 8 NOT SURE 9 NA	738
HITOK	Label: Ever approve of man punching adult male Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	739
HITMARCH	Label: Stranger in protest march Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	740
HITDRUNK	Label: Drunk bumped into man & wife Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	741
HITCHILD	Label: Stranger had hit mans child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	742
HITBEATR	Label: Stranger was beating up a woman Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	743
HITROBBR	Label: Stranger had broken into mans house Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	744
POLHITOK	Label: Ever approve of police striking citizen Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	745
POLABUSE	Label: Citizen said vulgar or obscene things Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	746
POLMURDR	Label: Citizen questioned as murder suspect Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	747
POLESCAP	Label: Citizen attempting to escape custody Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	748
POLATTAK	Label: Citizen attacking policeman with fists Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	749
FEAR	Label: Afraid to walk at night in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	750
FEARHOME	Label: Does R feel safe and secure at home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	751
BURGLR	Label: Home broken into during the last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	752
ROBBRY	Label: Forcefully robbed during the last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	753
OWNGUN	Label: Have gun in home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA	754
PISTOL	Label: Pistol or revolver in home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA	755
SHOTGUN	Label: Shotgun in home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA	756
RIFLE	Label: Rifle in home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA	757
ROWNGUN	Label: Does gun belong to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA	758
TICKET	Label: Ever received a traffic ticket Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA	759
ARREST	Label: Ever picked up or charged by police Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA	760
CONVICTD	Label: Convicted of crime ever Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DON'T KNOW 9 No answer	761
LOCKEDUP	Label: Prison or jail ever Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DON'T KNOW 9 No answer	762
HUNT	Label: Does R or spouse hunt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 RESP 2 SPOUSE 3 BOTH 4 NEITHER 8 DK 9 NA	763
HUNT1	Label: Does R or spouse or partner hunt Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 RESPONDENT HUNTS 2 SPOUSE OR PARTNER HUNTS 3 BOTH HUNT 4 NEITHER HUNTS 8 DK 9 NA	764
HUNTOTHR	Label: Does other household member hunt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	765
NEWS	Label: How often Does R read newspaper Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EVERYDAY 2 FEW TIMES A WEEK 3 ONCE A WEEK 4 LESS THAN ONCE WK 5 NEVER 8 DK 9 NA	766
TVHOURS	Label: Hours per day watching TV Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	767
RADIOHRS	Label: Hours per day listening to radio Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	768
PHONE	Label: Does R have telephone Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO PHONE 2 REFUSED 3 PHONE IN HOME 4 PHONE ELSEWHERE 5 PHONE,DK WHERE 6 CELLPHONE 9 NA	769
COOP2	Label: R's attitude toward interview Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FRIENDLY AND EAGER 2 COOPERATIVE 3 INDIFFERENT 4 HOSTILE 8 DK 9 NA	770
COOP	Label: R's attitude toward interview Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FRIENDLY,INTERESTED 2 COOPERATIVE 3 RESTLESS,IMPATIENT 4 HOSTILE 8 DK 9 NA	771
COMPREND	Label: R's understanding of questions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 1 GOOD 2 FAIR 3 POOR 8 DK 9 NA	772
FORM	Label: Form of split questionnaire asked Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0 Value Label 0 NO SPLIT QUES 1 STANDARD <X> 2 ALTERNATE <Y> 3 ALTERNATE <Z>	773
ABSPNO	Label: Abortion if husband opposes Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	774
ABHAVE1	Label: Have abortion if probable defect Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	775
ABHAVE2	Label: Have abortion if health endangered Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	776
ABHAVE3	Label: Have abortion if couldn't afford child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	777
ABLEGAL	Label: Should abortion ever be legal Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS 2 SOMETIMES 3 NEVER 8 DK 9 NA	778
FECHLD	Label: Mother working doesn't hurt children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	779
FEHELP	Label: Wife should help husbands career first Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	780
FEPRESCH	Label: Preschool kids suffer if mother works Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	781
FEFAM	Label: Better for man to work, woman tend home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	782
ERAREAD	Label: Has R heard or read about era Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	783
ERAMEANS	Label: Does R understand what era means Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	784
ERA	Label: Does R favor or oppose era? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 OPPOSE 4 STRONGLY OPPOSE 8 DK 9 NA	785
ERATELL	Label: Does R favor or oppose era Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 SOMEWHAT FAVOR 3 SOMEWHT OPPOSE 4 STRONGLY OPPOSE 8 DK 9 NA	786
ERAWHY1	Label: 1st reason favor-oppose era Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 99 Value Label 0 IAP 99 NA	787
ERAWHY2	Label: 2nd reason favor-oppose era Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 99 Value Label 0 IAP 99 NA	788
ERAWHY3	Label: 3rd reason favor-oppose era Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 99 Value Label 0 IAP 99 NA	789
ERAIMP	Label: Importance of era issue Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMPORTANT 8 DK 9 NA	790
ERAINFO	Label: How much info does R have about era Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL INFO R NEEDS 2 MOST OF THE INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA	791
ERAFIRM	Label: How firm is R's opinion on era Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA	792
FEBEAR	Label: Can wife refuse to have children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	793
FEWORKIF	Label: Married women work if jobs limited Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 APPROVE 2 DISAPPROVE 8 DK 9 NA	794
RACSUBS	Label: Favor attempts to integrate suburbs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAVOR 2 OPPOSE 8 DK 9 NA	795
RACSUBGV	Label: Suburban govts encourage integration Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ENCOURAGE 2 DISCOURAGE 3 LEAVE ALONE 8 DK 9 NA	796
RACMAREL	Label: What if relative married other race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY UNEASY 2 SOMEWHAT UNEASY 3 NOT UNEASY 8 DK 9 NA	797
RACMARPR	Label: Expect probs in interracial marriage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	798
RACSUPS	Label: Expect probs if blacks supervise whites Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	799
RACTEACH	Label: Don't hire teachers against integration Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	800
RACAVOID	Label: Avoid driving thru black neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	801
RACCHNG	Label: Try to integrate social club Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 WDNT BELONG 8 DK 9 NA	802
RACQUIT	Label: Quit if couldn't integrate club Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	803
RACDIF1	Label: Differences due to discrimination Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	804
RACDIF2	Label: Differences due to inborn disability Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	805
RACDIF3	Label: Differences due to lack of education Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	806
RACDIF4	Label: Differences due to lack of will Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	807
SALFERGT	Label: Salience, women's rights Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY OFTEN 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA	808
SALLABOR	Label: Salience, labor leaders Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY OFTEN 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA	809
SALSATFN	Label: Salience, financial satisfaction Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY OFTEN 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA	810
SALABORT	Label: Salience, abortion laws Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY OFTEN 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA	811
SALSCI	Label: Salience, scientific community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY OFTEN 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA	812
DIVORCE5	Label: Divorced in last 5 yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 NONE 1 PRIOR 4 YEARS 2 LAST YEAR 3 BOTH 9 NA	813
DIVREL1	Label: Relatives divorced in last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 IAP	814
DIVREL4	Label: Relatives divorced between 5 & 1 yrs ago Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 IAP	815
UNEMP5	Label: Unemployed in last 5 yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 NO 1 4 PRIOR YRS 2 4 PRIOR YRS, EARNER 3 LAST YR 4 BOTH,NOT EARNER 5 BOTH,EARNER PRIOR 4 6 LAST YR, EARNER 7 BOTH,EARNER LAST YR 8 BOTH,EARNER BOTH 9 NA	816
UNREL1	Label: Relatives unemployed in last yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 IAP	817
UNREL4	Label: Relatives unemp between 5 & 1 yrs ago Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 IAP	818
HOSDIS5	Label: Hospitalized, disabled last 5 yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 NONE 1 PRIOR 4 YEARS 2 LAST YEAR 3 BOTH 9 NA	819
HOSREL1	Label: Rels hospitalized in last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 IAP	820
HOSREL4	Label: Rels hospitalized betw 5 & 1 yrs ago Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 IAP	821
DEATH5	Label: Relatives died in last 5 yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 NONE 1 1 IN PRIOR 4 YRS 2 2+ IN PRIOR 4 YRS 3 1 LAST YR 4 1 LAST,1 IN PRIOR 4 5 1 IN LAST,2+ PRIOR 4 6 2+ LAST YR 7 2+ LAST, 1 PRIOR 4 8 2+ LAST, 2+ PRIOR 4 9 NA	822
DEATH16	Label: Relatives died since age 16 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 IAP	823
PADEATH	Label: Death of father Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO DEATH REPORTED 1 DIED BEFORE R 16 2 DIED 6+ YRS AGO 3 DIED 1-5 YRS AGO 4 DIED LAST YEAR 8 CANT TELL 9 NA	824
MADEATH	Label: Death of mother Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO DEATH REPORTED 1 DIED BEFORE R 16 2 DIED 6+ YRS AGO 3 DIED 1-5 YRS AGO 4 DIED LAST YEAR 8 CANT TELL 9 NA	825
CHLDDTH	Label: Death of child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 NO DEATH REPORTED 1 DIED 6+ YRS AGO 2 DIED 1-5 YRS AGO 3 DIED LAST YEAR 9 NA	826
SIBDEATH	Label: Death of sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 NO DEATH REPORTED 1 DIED 6+ YRS AGO 2 DIED 1-5 YRS AGO 3 DIED LAST YEAR 9 NA	827
SPDEATH	Label: Death of spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 NO DEATH REPORTED 1 DIED 6+ YRS AGO 2 DIED 1-5 YRS AGO 3 DIED LAST YEAR 9 NA	828
TRAUMA1	Label: Trauma scale, last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 9 NA	829
TRAUMA5	Label: Trauma scale, last 5 years Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 9 NA	830
TRAREL1	Label: Trauma of relatives, last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 9 NA	831
TRAREL5	Label: Trauma of relatives, last 5 yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 9 NA	832
TRATOT1	Label: Trauma last year, self & relatives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 9 NA	833
TRATOT5	Label: Trauma last 5 yrs, self & relatives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 9 NA	834
DEFSPDR	Label: Defense spending--R's position Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 HAVENT THOUGHT MUCH 1 GREATLY DECREASE 7 GREATLY INCREASE 8 DK 9 NA	835
DEFSPDFG	Label: Defense spending--govt position Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 HAVENT THOUGHT MUCH 1 GREATLY DECREASE 7 GREATLY INCREASE 8 DK 9 NA	836
HLPMINR	Label: Help minorities--R's position Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 HAVENT THOUGHT MUCH 1 GOVT HELP 7 HELP SELVES 8 DK 9 NA	837
HLPMINFG	Label: Help minorities--govt position Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 HAVENT THOUGHT MUCH 1 GOVT HELP 7 HELP SELVES 8 DK 9 NA	838
CUTSPDR	Label: Cut govt spending--R's position Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 HAVENT THOUGHT MUCH 1 CUT SPENDING 7 MAINTAIN SERVICES 8 DK 9 NA	839
CUTSPDFG	Label: Cut govt spending--govt position Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 HAVENT THOUGHT MUCH 1 CUT SPENDING 7 MAINTAIN SERVICES 8 DK 9 NA	840
IMPFAM	Label: Family and children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	841
IMPWORK	Label: Career and work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	842
IMPRELAX	Label: Free time and relaxation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	843
IMPFREND	Label: Friends and acquaintances Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	844
IMPKIN	Label: Relatives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	845
IMPCHURH	Label: Religion and church Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	846
IMPPOL	Label: Politics and public life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA	847
PRIVACY	Label: Is R concerned about privacy? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY CONCERNED 2 SOMEWHAT 3 ONLY A LITTLE 4 NOT CONCERNED 8 DK 9 NA	848
CIVIC	Label: Does R follow public affairs? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST OF THE TIME 2 SOME OF THE TIME 3 NOW AND THEN 4 HARDLY AT ALL 8 DK 9 NA	849
RUSHED	Label: How often R feels rushed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA	850
BORED	Label: How often Does R have extra time Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 QUITE OFTEN 2 NOW AND THEN 3 ALMOST NEVER 8 DK 9 NA	851
STRESSWK	Label: Stress at work in past 2 wks Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A lot of stress 2 A moderate amount of stress 3 Relatively little stress 4 Almost no stress at all 8 DK 9 NA	852
POLLGOOD	Label: Do surveys serve good purpose Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOOD PURPOSE 2 DEPENDS 3 WASTE OF TIME AND $ 8 DK 9 NA	853
POLLTRUE	Label: Trust results of surveys Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST ALWAYS 2 MOST OF THE TIME 3 SOME OF THE TIME 4 HARDLY EVER 8 DK 9 NA	854
FESERVE	Label: Mandatory conscription for females? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 PROBABLY FAVOR 3 PROBABLY OPPOSE 4 STRONGLY OPPOSE 8 DK 9 NA	855
MESERVE	Label: Mandatory conscription for males? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 PROBABLY FAVOR 3 PROBABLY OPPOSE 4 STRONGLY OPPOSE 8 DK 9 NA	856
TAXSERVE	Label: Favor conscription given taxes? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 PROBABLY FAVOR 3 PROBABLY OPPOSE 4 STRONGLY OPPOSE 8 DK 9 NA	857
MILQUAL	Label: Quality of persons in military Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXCELLENT 2 GOOD 3 NOT SO GOOD 4 POOR 8 DK 9 NA	858
MILPAY	Label: Pay and benefits for military personnel Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD BE LARGER 2 ABOUT RIGHT 3 SHOULD BE SMALLER 8 DK 9 NA	859
FENUMOK	Label: Number of women in military Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MANY 2 ABOUT RIGHT NUMBER 3 SHOULD BE MORE 8 DK 9 NA	860
HINUMOK	Label: Number of Hispanics in military Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MANY 2 ABOUT RIGHT NUMBER 3 SHOULD BE MORE 8 DK 9 NA	861
BLNUMOK	Label: Number of blacks in military Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MANY 2 ABOUT RIGHT NUMBER 3 SHOULD BE MORE 8 DK 9 NA	862
HINUMOKY	Label: Number Hispanics in military-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MANY 2 ABOUT RIGHT NUMBER 3 SHOULD BE MORE 8 DK 9 NA	863
BLNUMOKY	Label: Number of blacks in military-Version Y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MANY 2 ABOUT RIGHT NUMBER 3 SHOULD BE MORE 8 DK 9 NA	864
MILVOLOK	Label: How well has volunteer military worked? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY WELL 2 FAIRLY WELL 3 NOT WELL 8 DK 9 NA	865
FIGHTAIR	Label: Women as jet fighter pilots Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	866
MECHANIC	Label: Women as truck mechanic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	867
NURSE	Label: Women as nurses in combat zone Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	868
TYPIST	Label: Women as typist in pentagon Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	869
BRASS	Label: Women in command of military bases Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	870
FIGHTLND	Label: Women in hand-to-hand combat Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	871
TRANSAIR	Label: Women as jet transport pilot Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	872
GUNNER	Label: Women as air defense gunner in U.S. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	873
FIGHTSEA	Label: Women as crew member of combat ship Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	874
FEFIGHT	Label: Are women assigned to combat Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, THEY ARE 2 NO THEY ARENT 8 DK 9 NA	875
FEDIRTY	Label: Are women assigned to dirty jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, THEY ARE 2 NO THEY ARENT 8 DK 9 NA	876
FEBRASS	Label: Do women command over men Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, THEY ARE 2 NO THEY ARENT 8 DK 9 NA	877
FEHLPMIL	Label: Do women raise effectiveness of military Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 RAISED EFFECTIVENESS 2 NO DIFFERENCE 3 LOWERED EFFCTIVENESS 8 DK 9 NA	878
DRAFT	Label: Return to the draft? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DRAFT 2 VOLUNTEERS 8 DK 9 NA	879
DRAFTFE	Label: If return to draft, draft women? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	880
DRAFTEM	Label: If emergency, return to draft? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DRAFT 2 VOLUNTEERS 8 DK 9 NA	881
DRAFTFEM	Label: If emergency, draft women also? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	882
DRAFTCOL	Label: College students exempt from draft? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO, NOT EXEMPT 8 DK 9 NA	883
DRAFTMAR	Label: Married persons exempt from draft? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO, NOT EXEMPT 8 DK 9 NA	884
DRAFTPAR	Label: Parents of small chldrn exempt frm draft Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO, NOT EXEMPT 8 DK 9 NA	885
DRAFTGAY	Label: Gays exempt from draft? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO, NOT EXEMPT 8 DK 9 NA	886
DRAFTCO	Label: Conscientious objector exempt from draft Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO, NOT EXEMPT 8 DK 9 NA	887
DRAFTDEF	Label: Defense occupations exempt from draft? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO, NOT EXEMPT 8 DK 9 NA	888
VETFAM	Label: Family members served in armed forces? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	889
VETFAMNW	Label: Any family members in armed forces now Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	890
MINMILOP	Label: Min opportunities better in military? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MILITARY BETTER 2 CIVILIAN BETTER 3 NO DIFFERENCE 8 DK 9 NA	891
FEMILOP	Label: Fem opportunities better in military? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MILITARY BETTER 2 CIVILIAN BETTER 3 NO DIFFERENCE 8 DK 9 NA	892
COPUNISH	Label: Punish draft resister's? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	893
COJAIL	Label: Jail draft resister's? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 APPROVE 2 DISAPPROVE 8 DK 9 NA	894
MILOKME	Label: Military service good experience for men Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY GOOD 2 PROBABLY GOOD 3 PROB NOT GOOD 4 DEF NOT GOOD 8 DK 9 NA	895
MILOKFE	Label: Mil service good experience for women Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY GOOD 2 PROBABLY GOOD 3 PROB NOT GOOD 4 DEF NOT GOOD 8 DK 9 NA	896
UPGRADE	Label: Refuse vols with no basic skills? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REFUSE TO ACCEPT 2 ACCEPT & EDUCATE 8 DK 9 NA	897
JOBTRAIN	Label: Obligation to train for civilian jobs? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES,OBLIGATION 2 NOT OBLIGATION 8 DK 9 NA	898
NUKEWAR	Label: Possibility of an all-out atomic war Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WONT HAPPEN 7 CERTAIN TO HAPPEN 8 DK 9 NA	899
LANDWAR	Label: Possibility of a conventional ground war Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WONT HAPPEN 7 CERTAIN TO HAPPEN 8 DK 9 NA	900
MORENUKE	Label: Possibility of increasing arms race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WONT HAPPEN 7 CERTAIN TO HAPPEN 8 DK 9 NA	901
LESSNUKE	Label: Possibility of reducing atomic weapons Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WONT HAPPEN 7 CERTAIN TO HAPPEN 8 DK 9 NA	902
NONUKE	Label: Possibility eliminating atomic weapons Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WONT HAPPEN 7 CERTAIN TO HAPPEN 8 DK 9 NA	903
GUERILLA	Label: Possibility of guerilla wars Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WONT HAPPEN 7 CERTAIN TO HAPPEN 8 DK 9 NA	904
VETAID	Label: Any in hh receive mil or vet benefits Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	905
DEFWRKEV	Label: Ever work for military supplier? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	906
DEFWRKNW	Label: Currently work for military supplier? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	907
MILWRKEV	Label: Ever work for military or dod? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	908
MILWRKNW	Label: Currently work for military or DOD? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	909
RESDEFWK	Label: Local economy depends on defense work? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY DEPENDENT 2 SOMEWHAT DEPENDENT 3 NOT AT ALL 8 DK 9 NA	910
OBVOTE	Label: Obligation--voting in elections Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA	911
OBVOL	Label: Obligation--community service Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA	912
OBJURY	Label: Obligation--jury duty Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA	913
OB911	Label: Obligation--reporting a crime Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA	914
OBENG	Label: Obligation--being able to speak English Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA	915
OBKNOW	Label: Obligation--keeping informed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA	916
OBMEPAX	Label: Obligation--peacetime mil service-men Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA	917
OBMEWAR	Label: Obligation--wartime mil service-men Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA	918
OBFEPAX	Label: Obligation--peacetime mil service-female Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA	919
OBFEWAR	Label: Obligation--wartime mil service-female Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA	920
HELPPOOR	Label: Should govt improve standard of living? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVT ACTION 3 AGREE WITH BOTH 5 PEOPLE HELP SELVES 8 DK 9 NA	921
HELPNOT	Label: Should govt do more or less? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVT DO MORE 3 AGREE WITH BOTH 5 GOVT DOES TOO MUCH 8 DK 9 NA	922
HELPSICK	Label: Should govt help pay for medical care? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVT SHOULD HELP 3 AGREE WITH BOTH 5 PEOPLE HELP SELVES 8 DK 9 NA	923
HELPBLK	Label: Should govt aid blacks? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVT HELP BLKS 3 AGREE WITH BOTH 5 NO SPECIAL TREATMENT 8 DK 9 NA	924
NUMGIVEN	Label: Number of persons mentioned Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 9 NA	925
EQCLOSE	Label: R feels equally close to all persons Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 YES 2 NO 7 REFUSED 8 DK 9 NA	926
RCLOSE1	Label: R feels especially close to person #1 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 NOT ESP. CLOSE 7 REFUSED 8 DK 9 NA	927
RCLOSE2	Label: R feels especially close to person #2 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 NOT ESP. CLOSE 7 REFUSED 8 DK 9 NA	928
RCLOSE3	Label: R feels especially close to person #3 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 NOT ESP. CLOSE 7 REFUSED 8 DK 9 NA	929
RCLOSE4	Label: R feels especially close to person #4 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 NOT ESP. CLOSE 7 REFUSED 8 DK 9 NA	930
RCLOSE5	Label: R feels especially close to person #5 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 NOT ESP. CLOSE 7 REFUSED 8 DK 9 NA	931
CLOSE12	Label: How close are persons number 1 and 2? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 KNOW EACH OTHER 3 TOTAL STRANGERS 7 REFUSED 8 DK 9 NA	932
CLOSE13	Label: How close are persons number 1 and 3? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 KNOW EACH OTHER 3 TOTAL STRANGERS 7 REFUSED 8 DK 9 NA	933
CLOSE14	Label: How close are persons number 1 and 4? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 KNOW EACH OTHER 3 TOTAL STRANGERS 7 REFUSED 8 DK 9 NA	934
CLOSE15	Label: How close are persons number 1 and 5? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 KNOW EACH OTHER 3 TOTAL STRANGERS 7 REFUSED 8 DK 9 NA	935
CLOSE23	Label: How close are persons number 2 and 3? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 KNOW EACH OTHER 3 TOTAL STRANGERS 7 REFUSED 8 DK 9 NA	936
CLOSE24	Label: How close are persons number 2 and 4? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 KNOW EACH OTHER 3 TOTAL STRANGERS 7 REFUSED 8 DK 9 NA	937
CLOSE25	Label: How close are persons number 2 and 5? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 KNOW EACH OTHER 3 TOTAL STRANGERS 7 REFUSED 8 DK 9 NA	938
CLOSE34	Label: How close are persons number 3 and 4? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 KNOW EACH OTHER 3 TOTAL STRANGERS 7 REFUSED 8 DK 9 NA	939
CLOSE35	Label: How close are persons number 3 and 5? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 KNOW EACH OTHER 3 TOTAL STRANGERS 7 REFUSED 8 DK 9 NA	940
CLOSE45	Label: How close are persons number 4 and 5? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ESPECIALLY CLOSE 2 KNOW EACH OTHER 3 TOTAL STRANGERS 7 REFUSED 8 DK 9 NA	941
SEX1	Label: Sex of person number 1 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 MALE 2 FEMALE 7 REFUSED 8 DK 9 NA	942
SEX2	Label: Sex of person number 2 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 MALE 2 FEMALE 7 REFUSED 8 DK 9 NA	943
SEX3	Label: Sex of person number 3 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 MALE 2 FEMALE 7 REFUSED 8 DK 9 NA	944
SEX4	Label: Sex of person number 4 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 MALE 2 FEMALE 7 REFUSED 8 DK 9 NA	945
SEX5	Label: Sex of person number 5 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 MALE 2 FEMALE 7 REFUSED 8 DK 9 NA	946
RACE1	Label: Race of person number 1 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 OTHER 7 REFUSED 8 DK 9 NA	947
RACE2	Label: Race of person number 2 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 OTHER 7 REFUSED 8 DK 9 NA	948
RACE3	Label: Race of person number 3 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 OTHER 7 REFUSED 8 DK 9 NA	949
RACE4	Label: Race of person number 4 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 OTHER 7 REFUSED 8 DK 9 NA	950
RACE5	Label: Race of person number 5 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7 THRU 9; 0 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 OTHER 7 REFUSED 8 DK 9 NA	951
SPOUSE1	Label: Person #1 is R's spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	952
SPOUSE2	Label: Person #2 is R's spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	953
SPOUSE3	Label: Person #3 is R's spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	954
SPOUSE4	Label: Person #4 is R's spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	955
SPOUSE5	Label: Person #5 is R's spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	956
PARENT1	Label: Person #1 is R's parent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	957
PARENT2	Label: Person #2 is R's parent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	958
PARENT3	Label: Person #3 is R's parent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	959
PARENT4	Label: Person #4 is R's parent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	960
PARENT5	Label: Person #5 is R's parent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	961
SIBLING1	Label: Person #1 is R's sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	962
SIBLING2	Label: Person #2 is R's sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	963
SIBLING3	Label: Person #3 is R's sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	964
SIBLING4	Label: Person #4 is R's sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	965
SIBLING5	Label: Person #5 is R's sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	966
CHILD1	Label: Person #1 is R's child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	967
CHILD2	Label: Person #2 is R's child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	968
CHILD3	Label: Person #3 is R's child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	969
CHILD4	Label: Person #4 is R's child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	970
CHILD5	Label: Person #5 is R's child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	971
OTHFAM1	Label: Person #1 is R's family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	972
OTHFAM2	Label: Person #2 is R's family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	973
OTHFAM3	Label: Person #3 is R's family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	974
OTHFAM4	Label: Person #4 is R's family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	975
OTHFAM5	Label: Person #5 is R's family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	976
COWORK1	Label: Person #1 is R's coworker Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	977
COWORK2	Label: Person #2 is R's coworker Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	978
COWORK3	Label: Person #3 is R's coworker Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	979
COWORK4	Label: Person #4 is R's coworker Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	980
COWORK5	Label: Person #5 is R's coworker Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	981
MEMGRP1	Label: Person #1 is member of R's group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	982
MEMGRP2	Label: Person #2 is member of R's group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	983
MEMGRP3	Label: Person #3 is member of R's group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	984
MEMGRP4	Label: Person #4 is member of R's group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	985
MEMGRP5	Label: Person #5 is member of R's group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	986
NEIGHBR1	Label: Person #1 is R's neighbor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	987
NEIGHBR2	Label: Person #2 is R's neighbor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	988
NEIGHBR3	Label: Person #3 is R's neighbor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	989
NEIGHBR4	Label: Person #4 is R's neighbor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	990
NEIGHBR5	Label: Person #5 is R's neighbor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	991
FRIEND1	Label: Person #1 is R's friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	992
FRIEND2	Label: Person #2 is R's friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	993
FRIEND3	Label: Person #3 is R's friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	994
FRIEND4	Label: Person #4 is R's friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	995
FRIEND5	Label: Person #5 is R's friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	996
ADVISOR1	Label: Person #1 is R's advisor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	997
ADVISOR2	Label: Person #2 is R's advisor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	998
ADVISOR3	Label: Person #3 is R's advisor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	999
ADVISOR4	Label: Person #4 is R's advisor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	1000
ADVISOR5	Label: Person #5 is R's advisor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	1001
OTHER1	Label: Person #1 is other type of acquaintance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	1002
OTHER2	Label: Person #2 is other type of acquaintance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	1003
OTHER3	Label: Person #3 is other type of acquaintance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	1004
OTHER4	Label: Person #4 is other type of acquaintance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	1005
OTHER5	Label: Person #5 is other type of acquaintance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DK 9 NA	1006
TALKTO1	Label: How often Does R talk to person #1? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST DAILY 2 ONCE A WEEK 3 ONCE A MONTH 4 LT ONCE A MONTH 8 DK 9 NA	1007
TALKTO2	Label: How often Does R talk to person #2? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST DAILY 2 ONCE A WEEK 3 ONCE A MONTH 4 LT ONCE A MONTH 8 DK 9 NA	1008
TALKTO3	Label: How often Does R talk to person #3? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST DAILY 2 ONCE A WEEK 3 ONCE A MONTH 4 LT ONCE A MONTH 8 DK 9 NA	1009
TALKTO4	Label: How often Does R talk to person #4? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST DAILY 2 ONCE A WEEK 3 ONCE A MONTH 4 LT ONCE A MONTH 8 DK 9 NA	1010
TALKTO5	Label: How often Does R talk to person #5? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST DAILY 2 ONCE A WEEK 3 ONCE A MONTH 4 LT ONCE A MONTH 8 DK 9 NA	1011
KNOWN1	Label: How long Has R known person #1? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LT 3 YEARS 2 3-6 YEARS 3 6 YEARS + 8 DK 9 NA	1012
KNOWN2	Label: How long Has R known person #2? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LT 3 YEARS 2 3-6 YEARS 3 6 YEARS + 8 DK 9 NA	1013
KNOWN3	Label: How long Has R known person #3? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LT 3 YEARS 2 3-6 YEARS 3 6 YEARS + 8 DK 9 NA	1014
KNOWN4	Label: How long Has R known person #4? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LT 3 YEARS 2 3-6 YEARS 3 6 YEARS + 8 DK 9 NA	1015
KNOWN5	Label: How long Has R known person #5? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LT 3 YEARS 2 3-6 YEARS 3 6 YEARS + 8 DK 9 NA	1016
EDUC1	Label: Education level of person #1 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 1-6 YEARS 1 7-9 YEARS 2 10-12 YEARS 3 H.S. GRAD 4 SOME COLLEGE 5 ASSO. DEGREE 6 BACH. DEGREE 7 GRAD OR PROF 8 DK 9 NA	1017
EDUC2	Label: Education level of person #2 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 1-6 YEARS 1 7-9 YEARS 2 10-12 YEARS 3 H.S. GRAD 4 SOME COLLEGE 5 ASSO. DEGREE 6 BACH. DEGREE 7 GRAD OR PROF 8 DK 9 NA	1018
EDUC3	Label: Education level of person #3 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 1-6 YEARS 1 7-9 YEARS 2 10-12 YEARS 3 H.S. GRAD 4 SOME COLLEGE 5 ASSO. DEGREE 6 BACH. DEGREE 7 GRAD OR PROF 8 DK 9 NA	1019
EDUC4	Label: Education level of person #4 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 1-6 YEARS 1 7-9 YEARS 2 10-12 YEARS 3 H.S. GRAD 4 SOME COLLEGE 5 ASSO. DEGREE 6 BACH. DEGREE 7 GRAD OR PROF 8 DK 9 NA	1020
EDUC5	Label: Education level of person #5 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 1-6 YEARS 1 7-9 YEARS 2 10-12 YEARS 3 H.S. GRAD 4 SOME COLLEGE 5 ASSO. DEGREE 6 BACH. DEGREE 7 GRAD OR PROF 8 DK 9 NA	1021
AGE1	Label: Age of person #1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1022
AGE2	Label: Age of person #2 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1023
AGE3	Label: Age of person #3 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1024
AGE4	Label: Age of person #4 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1025
AGE5	Label: Age of person #5 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1026
RELIG1	Label: Religious preference of person #1 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA	1027
RELIG2	Label: Religious preference of person #2 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA	1028
RELIG3	Label: Religious preference of person #3 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA	1029
RELIG4	Label: Religious preference of person #4 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA	1030
RELIG5	Label: Religious preference of person #5 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA	1031
PARTYID1	Label: Party ID of person #1 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEMOCRAT 2 REPUBLICAN 3 INDEPENDENT 4 OTHER 8 DK 9 NA	1032
PARTYID2	Label: Party ID of person #2 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEMOCRAT 2 REPUBLICAN 3 INDEPENDENT 4 OTHER 8 DK 9 NA	1033
PARTYID3	Label: Party ID of person #3 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEMOCRAT 2 REPUBLICAN 3 INDEPENDENT 4 OTHER 8 DK 9 NA	1034
TALKPOL1	Label: R discusses politics with person #1 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST DAILY 2 AT LEAST WEEKLY 3 AT LEAST MONTHLY 4 AT LEAST YEARLY 5 LESS THAN YEARLY 6 NEVER 8 DK 9 NA	1035
TALKPOL2	Label: R discusses politics with person #2 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST DAILY 2 AT LEAST WEEKLY 3 AT LEAST MONTHLY 4 AT LEAST YEARLY 5 LESS THAN YEARLY 6 NEVER 8 DK 9 NA	1036
TALKPOL3	Label: R discusses politics with person #3 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST DAILY 2 AT LEAST WEEKLY 3 AT LEAST MONTHLY 4 AT LEAST YEARLY 5 LESS THAN YEARLY 6 NEVER 8 DK 9 NA	1037
TALKPOL	Label: How often Does R discuss politics? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST ALWAYS 2 MOST OF THE TIME 3 OCCASIONALLY 4 ALMOST NEVER 8 DK 9 NA	1038
FRNDKNOW	Label: How many of R's friends know each other? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL KNOW EACH OTHER 2 MOST KNOW EACH OTHER 3 FEW KNOW EACH OTHER 4 NONE KNOW EACH OTHER 5 NO FRIENDS<VOL.> 8 DK 9 NA	1039
MEMFRAT	Label: Membership in fraternal group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1040
MEMSERV	Label: Membership in service group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1041
MEMVET	Label: Membership in veteran group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1042
MEMPOLIT	Label: Membership in political club Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1043
MEMUNION	Label: Membership in labor union Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1044
MEMSPORT	Label: Membership in sports club Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1045
MEMYOUTH	Label: Membership in youth group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1046
MEMSCHL	Label: Membership in school service Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1047
MEMHOBBY	Label: Membership in hobby club Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1048
MEMGREEK	Label: Membership in school fraternity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1049
MEMNAT	Label: Membership in nationality group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1050
MEMFARM	Label: Membership in farm organization Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1051
MEMLIT	Label: Membership in literary or art group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1052
MEMPROF	Label: Membership in professional society Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1053
MEMCHURH	Label: Membership in church group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1054
MEMOTHER	Label: Membership in any other Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1055
MEMNUM	Label: Number of memberships Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1056
SOLFRAT	Label: Fraternal group tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1057
SOLSERV	Label: Service group tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1058
SOLVET	Label: Veteran group tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1059
SOLPOLIT	Label: Political club tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1060
SOLUNION	Label: Labor union tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1061
SOLSPORT	Label: Sports club tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1062
SOLYOUTH	Label: Youth group tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1063
SOLSCHL	Label: School service tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1064
SOLHOBBY	Label: Hobby club tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1065
SOLGREEK	Label: Fraternity tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1066
SOLNAT	Label: Nationality grp tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1067
SOLFARM	Label: Farm org tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1068
SOLLIT	Label: Lit or art grp tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1069
SOLPROF	Label: Prof society tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1070
SOLCHURH	Label: Church group tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1071
SOLOTHER	Label: Any other group tries to solve problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1072
ACTFRAT	Label: R active in fraternal group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1073
ACTSERV	Label: R active in service group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1074
ACTVET	Label: R active in veteran group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1075
ACTPOLIT	Label: R active in political club Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1076
ACTUNION	Label: R active in labor union Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1077
ACTSPORT	Label: R active in sports club Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1078
ACTYOUTH	Label: R active in youth group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1079
ACTSCHL	Label: R active in school service Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1080
ACTHOBBY	Label: R active in hobby club Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1081
ACTGREEK	Label: R active in school fraternity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1082
ACTNAT	Label: R active in nationality group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1083
ACTFARM	Label: R active in farm organization Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1084
ACTLIT	Label: R active in literary or art group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1085
ACTPROF	Label: R active in professional society Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1086
ACTCHURH	Label: R active in church group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1087
ACTOTHER	Label: R active in any other group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1088
CHURHGRP	Label: Is church group church itself Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CHURCH 2 RELATED GROUP 3 BOTH 8 DK 9 NA	1089
MOSTACT	Label: Which group Is R most active in Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 FRATERNAL GROUPS 2 SERVICE CLUBS 3 VETERANS GROUPS 4 POLITICAL CLUBS 5 LABOR UNIONS 6 SPORTS GROUPS 7 YOUTH GROUPS 8 SCHOOL SERVICE 9 HOBBY CLUBS 10 SCHOOL FRATS 11 NATIONALITY GRPS 12 FARM ORGS 13 LIT OR ART GRPS 14 PROF SOCIETIES 15 CHURCH REL GRPS 16 ANY OTHER GRPS 98 DK 99 NA	1090
CAREGRP	Label: How committed to group Is R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT COMMITTED 2 SLIGHTLY COMM 3 MODERATELY COMM 4 STRONGLY COMM 5 VERY STRONGLY COMM 8 DK 9 NA	1091
SERVEGRP	Label: Has R served on group committees Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1092
LEADGRP	Label: Has R served as officer in group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1093
GIVEGRP	Label: Has R given money above regular dues Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1094
ATTNDGRP	Label: Has R attended group conferences Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1095
WRITEGRP	Label: Has R written to newspapeR's for group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1096
LOBBYGRP	Label: Has R contacted government for group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1097
LOCLIVED	Label: How long Has R lived in community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LT 1 YEAR 2 1-3 YEARS 3 4-10 YEARS 4 GT 10 BUT LT LIFE 5 ENTIRE LIFE 8 DK 9 NA	1098
LOCTRUST	Label: How much trust Does R have in local gov Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST ALWAYS 2 MOST OF TIME 3 SOME OF TIME 4 ALMOST NEVER 8 DK 9 NA	1099
LOCINFLU	Label: How much influence R feels on local gov Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A LOT 2 MODERATE AMOUNT 3 A LITTLE 4 NONE 8 DK 9 NA	1100
LOCPROB	Label: Has R helped to solve local problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1101
LOCGRP	Label: Has R helped to start new local group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1102
LOCCARE	Label: Would local officials listen to problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LOT OF ATTENTION 2 SOME 3 VERY LITTLE 4 NONE 8 DK 9 NA	1103
INTPOL	Label: How interested in politics Is R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY INTERESTED 2 SOMEWHAT INT 3 SLIGHTLY INT 4 NOT INTERESTED 8 DK 9 NA	1104
SWAYVOTE	Label: Has R tried to influence votes of others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 DK 9 NA	1105
WORKPOL	Label: Has R worked for parties or candidates Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST ELECTIONS 2 SOME ELECTIONS 3 ONLY A FEW 4 NEVER 8 DK 9 NA	1106
POLRALLY	Label: Has R attended political rallies Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1107
LOCLOBBY	Label: Has R lobbied local officials Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1108
LOCSELF	Label: Was problem of narrow or wide concern Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF FRNDS FAMLY 2 BOTH 3 WIDER CONCERN 8 DK 9 NA	1109
OTHLOBBY	Label: Has R lobbied higher level officials Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1110
OTHSELF	Label: Was this prob of narrow or wide concern Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF FRNDS FAMLY 2 BOTH 3 WIDER CONCERN 8 DK 9 NA	1111
GOVERNOR	Label: Did R correctly name governor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CORRECT 2 INCORRECT 8 DK 9 NA	1112
USREP	Label: Did R correctly name us representative Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CORRECT 2 INCORRECT 8 DK 9 NA	1113
SCHLHEAD	Label: Did R correctly name local school head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CORRECT 2 INCORRECT 8 DK 9 NA	1114
FEDTRUST	Label: How much does R trust federal government Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST ALWAYS 2 MOST OF TIME 3 SOME OF TIME 4 ALMOST NEVER 8 DK 9 NA	1115
LOCVOTE	Label: How often does R vote in local elections Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VOTE IN ALL 2 SOMETIMES MISS 3 RARELY VOTE 4 NEVER VOTE 8 DK 9 NA	1116
GAVEPOL	Label: Has R given money to candidate or cause Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1117
BLKINFLU	Label: Opinion of political influence of blacks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAR TOO MUCH 2 TOO MUCH 3 RIGHT AMOUNT 4 TOO LITTLE 5 FAR TOO LITTLE 8 DK 9 NA	1118
BLKGAINS	Label: Best way for blacks to improve position Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CIVIL RIGHTS GRPS 7 BETTER TRAINED INDS 8 DK 9 NA	1119
FEINFLU	Label: Opinion of political influence of women Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAR TOO MUCH 2 TOO MUCH 3 RIGHT AMOUNT 4 TOO LITTLE 5 FAR TOO LITTLE 8 DK 9 NA	1120
FEGAINS	Label: Best way for women to improve position Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WOMENS RIGHTS GRPS 7 BETTER TRAINED INDS 8 DK 9 NA	1121
SCISOLVE	Label: Science will solve social problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	1122
SCICHNG	Label: Science changes way of life too fast Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	1123
SCIPRY	Label: Scientists pry into things they oughtn't Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	1124
SCIMORAL	Label: Science breaks down ideas of right & wrong Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DK 9 NA	1125
SWITCHED	Label: Has R ever had a different religion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1126
SWITCH1	Label: What was R's first religious preference Format: F6.0 Measure: Scale Display Width: 8 Missing Values: 0; 999999 Value Label 110000 AMER BAPTIST ASSOC 111000 AMER BAPT CH IN US 112000 NATL BAPT CON OF AM 113000 NATL BAPT CON, USA 114000 SOUTHERN BAPT CON 115000 OTHER BAPTIST CHURCH 118000 BAPTIST, DK WHICH 120000 AFRCN METH EPIS CH 121000 AFRCN METH EPIS ZION 122000 UNITED METHODIST CH 123000 OTHER METHODIST CH 128000 METHODIST, DK WHICH 130000 AMER LUTHERAN CHURCH 131000 LUTHERAN CH IN AMER 132000 LUTH CH-MISSOURI SYN 133000 WISCONSIN EV LUTH SN 134000 OTHER LUTHERAN CHURC 135000 EVANGELICAL LUTHERAN 138000 LUTHERAN, DK WHICH 140000 PRESBYTERIAN CH N US 141000 UNITED PRES CH IN US 142000 OTHER PRESBYTERIAN 148000 PRESBYTERIAN, DK WHI 150000 EPISCOPAL CHURCH 160000 OTHER PROTESTANT 170000 NO DENOMINATION 200000 CATHOLIC 300000 JEWISH 400000 NONE 500000 OTHER RELIGION 999999 MISSING	1127
SWITCH2	Label: What was R's second religious preference Format: F6.0 Measure: Scale Display Width: 8 Missing Values: 0; 999999 Value Label 110000 AMER BAPTIST ASSOC 111000 AMER BAPT CH IN US 112000 NATL BAPT CON OF AM 113000 NATL BAPT CON, USA 114000 SOUTHERN BAPT CON 115000 OTHER BAPTIST CHURCH 118000 BAPTIST, DK WHICH 120000 AFRCN METH EPIS CH 121000 AFRCN METH EPIS ZION 122000 UNITED METHODIST CH 123000 OTHER METHODIST CH 128000 METHODIST, DK WHICH 130000 AMER LUTHERAN CHURCH 131000 LUTHERAN CH IN AMER 132000 LUTH CH-MISSOURI SYN 133000 WISCONSIN EV LUTH SN 134000 OTHER LUTHERAN CHURC 135000 EVANGELICAL LUTHERAN 138000 LUTHERAN, DK WHICH 140000 PRESBYTERIAN CH N US 141000 UNITED PRES CH IN US 142000 OTHER PRESBYTERIAN 148000 PRESBYTERIAN, DK WHI 150000 EPISCOPAL CHURCH 160000 OTHER PROTESTANT 170000 NO DENOMINATION 200000 CATHOLIC 300000 JEWISH 400000 NONE 500000 OTHER RELIGION 999999 MISSING	1128
SWITCH3	Label: What was R's third religious preference Format: F6.0 Measure: Nominal Display Width: 8 Missing Values: 0; 999999 Value Label 110000 AMER BAPTIST ASSOC 111000 AMER BAPT CH IN US 112000 NATL BAPT CON OF AM 113000 NATL BAPT CON, USA 114000 SOUTHERN BAPT CON 115000 OTHER BAPTIST CHURCH 118000 BAPTIST, DK WHICH 120000 AFRCN METH EPIS CH 121000 AFRCN METH EPIS ZION 122000 UNITED METHODIST CH 123000 OTHER METHODIST CH 128000 METHODIST, DK WHICH 130000 AMER LUTHERAN CHURCH 131000 LUTHERAN CH IN AMER 132000 LUTH CH-MISSOURI SYN 133000 WISCONSIN EV LUTH SN 134000 OTHER LUTHERAN CHURC 135000 EVANGELICAL LUTHERAN 138000 LUTHERAN, DK WHICH 140000 PRESBYTERIAN CH N US 141000 UNITED PRES CH IN US 142000 OTHER PRESBYTERIAN 148000 PRESBYTERIAN, DK WHI 150000 EPISCOPAL CHURCH 160000 OTHER PROTESTANT 170000 NO DENOMINATION 200000 CATHOLIC 300000 JEWISH 400000 NONE 500000 OTHER RELIGION 999999 MISSING	1129
SWITNUM	Label: How many religious preferences mentioned Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 4 FOUR OR MORE 9 NA	1130
SWITAGE1	Label: How old was R when first switched Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1131
SWITAGE2	Label: How old was R when second switch Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1132
SWITWHY1	Label: Why did R make first switch Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 NA 10 MARRIAGE 14 MARR & LOCATION 15 MARR & THEOLOGY 16 MARR. & CLERGY 17 MARR & POSITIVE BLF 20 FRIENDS 23 FRNDS & FAMILY 24 FRNDS & LOCATION 25 FRNDS & THEO DIS 26 FRNDS & CLERGY 28 FRNDS & OTHER POS 30 FAMILY 34 FAM & LOCATION 35 FAM & THEO DISS 37 FAM & POSITIVE BLF 39 FAM & MISC 40 LOCATION 41 LOC & TO CHANGE 45 LOC & THEO DISSAT 46 LOC AND CLERGY 47 LOC & POSITIVE BLF 50 THEOLOGICAL DISS 56 THEO DISS & CLERGY 60 CLERGY 68 CLERGY & OTH POS 69 CLERGY & MISSING 70 TO CHANGE 71 OTHER, TO CHANGE 76 OTHER, MISC 77 OTHER, POS BLFS 78 OTHER, POS OTHER 79 OTHER, MISSING 85 LOC, THEO & CLRGY 86 FRNDS,FAM,LOCATION 87 MARR,LOC,THEO DIS 99 MISSING VALUES	1133
SWITWHY2	Label: Why did R make second switch Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 NA 10 MARRIAGE 14 MARR & LOCATION 15 MARR & THEOLOGY 16 MARR. & CLERGY 17 MARR & POSITIVE BLF 20 FRIENDS 23 FRNDS & FAMILY 24 FRNDS & LOCATION 25 FRNDS & THEO DIS 26 FRNDS & CLERGY 28 FRNDS & OTHER POS 30 FAMILY 34 FAM & LOCATION 35 FAM & THEO DISS 37 FAM & POSITIVE BLF 39 FAM & MISC 40 LOCATION 41 LOC & TO CHANGE 45 LOC & THEO DISSAT 46 LOC AND CLERGY 47 LOC & POSITIVE BLF 50 THEOLOGICAL DISS 56 THEO DISS & CLERGY 60 CLERGY 68 CLERGY & OTH POS 69 CLERGY & MISSING 70 TO CHANGE 71 OTHER, TO CHANGE 76 OTHER, MISC 77 OTHER, POS BLFS 78 OTHER, POS OTHER 79 OTHER, MISSING 85 LOC, THEO & CLRGY 86 FRNDS,FAM,LOCATION 87 MARR,LOC,THEO DIS 99 MISSING VALUES	1134
MARELIG	Label: What was mother's religious preference Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA	1135
MADEN	Label: What was mother's religious denomination Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTH 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN US 42 OTHER PRESBYTERIAN 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA	1136
MAOTH	Label: Other protestant denomination for mother Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 149 Polish Catholic 196 Empowerment Temple 197 Grace Independent Baptist Church 198 New Life 199 Follower of Christ 201 Pathways Christian Church 204 Renia de Deus 998 DK 999 NA	1137
MAJew	Label: What sort of Jew was R's mother Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Orthodox 2 Conservative 3 Reform 4 None of these 5 OTHER 8 DONT KNOW 9 NA	1138
MAFUND	Label: How fundamentalist was R's mother Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FUNDAMENTALIST 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED	1139
PARELIG	Label: What was father's religious preference Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Protestant 2 Catholic 3 Jewish 4 None 5 OTHER 8 DONT KNOW 9 NA	1140
PADEN	Label: What was father's religious denomination Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTH 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA	1141
PAOTH	Label: Other protestant denomination for father Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 149 Polish Catholic 196 Empowerment Temple 197 Grace Independent Baptist Church 198 New Life 199 Follower of Christ 201 Pathways Christian Church 204 Renia de Deus 998 DK 999 NA	1142
PAJew	Label: What sort of Jew was R's father Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Orthodox 2 Conservative 3 Reform 4 None of these 5 OTHER 8 DONT KNOW 9 NA	1143
PAFUND	Label: How fundamentalist was R's father Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FUNDAMENTALIST 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED	1144
CHURHSCH	Label: Number of years R attended church school Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 NEVER WENT OR LESS THAN HALF YEAR 95 ONE OR MORE YEAR 98 DK 99 NA	1145
SUNSCH16	Label: How frequently R attended sunday school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REGULARLY 2 MOST OF THE TIME 3 SOME OF THE TIME 4 NEVER 5 ATT PAROCHIAL SCH 8 DK 9 NA	1146
GRACE16	Label: Did R's family say grace at meals Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1147
JOIN16	Label: Was R ever confirmed as member of church Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1148
LAPSED	Label: Did R ever lapse in church attendance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1149
CHURHMEM	Label: Is R a member of church or synagogue Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1150
CHURHACT	Label: Does R participate in church activities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1151
TVRELIG	Label: Hours per week R watches religious TV Format: F4.1 Measure: Scale Display Width: 8 Missing Values: -1; 99.8; 99.90000000000001 Value Label -1.0 IAP 99.8 DK 99.9 NA	1152
GOD	Label: R's confidence in the existence of god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DONT BELIEVE 2 NO WAY TO FIND OUT 3 SOME HIGHER POWER 4 BELIEVE SOMETIMES 5 BELIEVE BUT DOUBTS 6 KNOW GOD EXISTS 8 DK 9 NA	1153
REBORN	Label: Has R ever had a 'born again' experience Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1154
SAVESOUL	Label: Tried to convince others to accept jesus Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1155
SAYGRACE	Label: Does R's family say grace before meals Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1156
READWORD	Label: How often did R read bible last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SEVERAL X DAY 2 ONCE A DAY 3 SEVERAL X WEEK 4 ONCE A WEEK 5 LT ONCE A WEEK 6 DIDNT READ LAST YEAR 8 DK 9 NA	1157
PUNSIN	Label: R agrees that sinners must be punished Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 DISAGREE SOMEWHAT 4 DISAGREE STRONGLY 8 DK 9 NA	1158
BLKWHITE	Label: R agrees right & wrong not black & white Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 DISAGREE SOMEWHAT 4 DISAGREE STRONGLY 8 DK 9 NA	1159
ROTAPPLE	Label: R agrees immoral person corrupts society Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 DISAGREE SOMEWHAT 4 DISAGREE STRONGLY 8 DK 9 NA	1160
PERMORAL	Label: R agrees that morality a Personal matter Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 DISAGREE SOMEWHAT 4 DISAGREE STRONGLY 8 DK 9 NA	1161
DECBIBLE	Label: Importance of bible in making decisions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA	1162
DECOTHS	Label: Imp. of family & friends to make decisions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA	1163
DECCHURH	Label: Imp of church teachings to make decision Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA	1164
DECSELF	Label: Imp of Personal judgment to make decision Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA	1165
GOCHURCH	Label: Importance of attending church regularly Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA	1166
BELIEVE	Label: Importance of believing in god w o doubt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA	1167
FOLLOW	Label: Importance of following church teachings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA	1168
GOOWNWAY	Label: Importance of following own conscience Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA	1169
MYFAITH	Label: Degree to which faith is free of doubt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAITH FREE OF DOUBT 7 FAITH MIXED W DOUBT 8 DK 9 NA	1170
MADATGOD	Label: How often R feels angry at god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN ANGRY AT GOD 7 NEVER ANGRY AT GOD 8 DK 9 NA	1171
DOUBTS1	Label: Has evil in the world caused R doubt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA	1172
DOUBTS2	Label: Has Personal suffering caused R doubt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA	1173
DOUBTS3	Label: Has science-faith conflict caused doubt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA	1174
DOUBTS4	Label: Has feeling of meaninglessness caused doubt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA	1175
FAITH1	Label: Has death in family strengthened faith Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA	1176
FAITH2	Label: Has birth of child strengthened faith Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA	1177
FAITH3	Label: Has marriage strengthened faith Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA	1178
FAITH4	Label: Has sexual pleasure strengthened faith Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA	1179
FRNDCON1	Label: Does friend 1 belong to R's congregation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 R ISNT IN CONGREGTN 4 FRIEND, NO INFO 8 DK 9 NA	1180
FRNDCON2	Label: Does friend 2 belong to R's congregation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 R ISNT IN CONGREGTN 4 FRIEND, NO INFO 8 DK 9 NA	1181
FRNDCON3	Label: Does friend 3 belong to R's congregation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 R ISNT IN CONGREGTN 4 FRIEND, NO INFO 8 DK 9 NA	1182
FRNDCON4	Label: Does friend 4 belong to R's congregation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 R ISNT IN CONGREGTN 4 FRIEND, NO INFO 8 DK 9 NA	1183
FRNDCON5	Label: Does friend 5 belong to R's congregation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 R ISNT IN CONGREGTN 4 FRIEND, NO INFO 8 DK 9 NA	1184
FRNDREL1	Label: What is friend 1s religious preference Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA	1185
FRNDREL2	Label: What is friend 2s religious preference Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA	1186
FRNDREL3	Label: What is friend 3s religious preference Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA	1187
FRNDREL4	Label: What is friend 4s religious preference Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA	1188
FRNDREL5	Label: What is friend 5s religious preference Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA	1189
FRNDDEN1	Label: What is friend 1s specific denomination Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTHERAN 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 43 PRESBYT CH USA 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA	1190
FRNDDEN2	Label: What is friend 2s specific denomination Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTHERAN 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 43 PRESBYT CH USA 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA	1191
FRNDDEN3	Label: What is friend 3s specific denomination Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTHERAN 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 43 PRESBYT CH USA 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA	1192
FRNDDEN4	Label: What is friend 4s specific denomination Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTHERAN 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 43 PRESBYT CH USA 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA	1193
FRNDDEN5	Label: What is friend 5s specific denomination Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTHERAN 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 43 PRESBYT CH USA 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA	1194
FRNDOTH1	Label: What is friend 1s other prot denom Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	1195
FRNDOTH2	Label: What is friend 2s other prot denom Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	1196
FRNDOTH3	Label: What is friend 3s other prot denom Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	1197
FRNDOTH4	Label: What is friend 4s other prot denom Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	1198
FRNDOTH5	Label: What is friend 5s other prot denom Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	1199
FRNDFND1	Label: Fund.-lib. of 1st friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FUND 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED	1200
FRNDFND2	Label: Fund.-lib. of 2nd friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FUND 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED	1201
FRNDFND3	Label: Fund.-lib. of 3rd friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FUND 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED	1202
FRNDFND4	Label: Fund.-lib. of 4th friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FUND 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED	1203
FRNDFND5	Label: Fund.-lib. of 5th friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FUND 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED	1204
FRNDRAC1	Label: What is friend 1s race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 SOMETHING ELSE 8 DONT KNOW 9 NA	1205
FRNDRAC2	Label: What is friend 2s race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 SOMETHING ELSE 8 DONT KNOW 9 NA	1206
FRNDRAC3	Label: What is friend 3s race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 SOMETHING ELSE 8 DONT KNOW 9 NA	1207
FRNDRAC4	Label: What is friend 4s race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 SOMETHING ELSE 8 DONT KNOW 9 NA	1208
FRNDRAC5	Label: What is friend 5s race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 SOMETHING ELSE 8 DONT KNOW 9 NA	1209
FRIENDS	Label: Have any good friends feeling close Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1210
NUMFREND	Label: About how many good friends do you have Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 94 NO NUMUBER GIVEN 95 MANY 96 96+ 98 DK 99 NA	1211
NUMBWFRD	Label: Good friends who are white-black Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 94 NO NUMUBER GIVEN 95 MANY 96 96+ 98 DK 99 NA	1212
BWFRIEND	Label: Friends black or white Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1213
GODSELLS	Label: Religious image to sell products Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY APPROVE 2 SOMEWHAT APPROVE 3 NOT APPRVE/OPPSE 4 SOMEWHAT OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1214
GODSPORT	Label: Pro-athletes giving thanks to god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY APPROVE 2 SOMEWHAT APPROVE 3 NOT APPRVE/OPPSE 4 SOMEWHAT OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1215
GIVECONG	Label: Given money to local congregation Format: F5.0 Measure: Scale Display Width: 8 Missing Values: 99997 THRU 99999; -1 Value Label -1 IAP 99997 REFUSED 99998 DK 99999 NA	1216
GIVEREL	Label: Given money other religious org Format: F5.0 Measure: Scale Display Width: 8 Missing Values: 99997 THRU 99999; -1 Value Label -1 IAP 99997 REFUSED 99998 DK 99999 NA	1217
GIVEOTH	Label: Given money non-religious charities Format: F5.0 Measure: Scale Display Width: 8 Missing Values: 99997 THRU 99999; -1 Value Label -1 IAP 99997 REFUSED 99998 DK 99999 NA	1218
GIVEARTS	Label: Contributions to arts culture humanities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1219
RELHRS1	Label: Hours religious act in home Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	1220
RELHRS2	Label: Hours religious act outside of home Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	1221
NUMCONG	Label: Number of members of the congregation Format: F4.0 Measure: Scale Display Width: 8 Missing Values: -1; 9999; 9998 Value Label -1 IAP 9996 9996 or more 9998 DK 9999 NA	1222
KID5UP	Label: Have children older than 5 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1223
PUBSCH	Label: All children attend pub elem & hi school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1224
HOMESCH	Label: Children attend home schooling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1225
CATHSCH	Label: Children attend catholic school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1226
CHRISSCH	Label: Children attend christian school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1227
DENOMSCH	Label: Denomination of school children attended Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Baptist 2 Christian Reform 3 Christian Science 4 Episcopal 5 Inter Denominational 6 Lutheran 7 Missouri Synod Lutheran 8 Non-Denominational 9 Southern Baptist 10 Seventh Day Adventist 11 Valley Christian 12 Congregational 13 Mormon 98 Don't know 99 No answer	1228
RELSCH	Label: Children attend other church school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1229
PRIVSCH	Label: Children attend private secular school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1230
OTHSCH	Label: Children attend other school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1231
SHOPREL	Label: Ever shopped around for a church Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1232
SHOPMOVE	Label: Shopped around because had moved Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1233
SHOPNUM	Label: How many churches did you visit Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NA	1234
OTHCHRCH	Label: Happy in other non catholic church Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1235
IMPLIVES	Label: Way of life more important than being catholic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1236
OBEYTCH	Label: Important to obey church teachings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1237
PREACH	Label: How well local church preaches Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXCELLENT 2 VERY GOOD 3 GOOD 4 FAIR 5 POOR 8 DK 9 NA	1238
FERESPCT	Label: How well local church respects women's rights Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXCELLENT 2 VERY GOOD 3 GOOD 4 FAIR 5 POOR 8 DK 9 NA	1239
SYMPCOUN	Label: How well local church counsels sympathetically Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXCELLENT 2 VERY GOOD 3 GOOD 4 FAIR 5 POOR 8 DK 9 NA	1240
WRKYOUNG	Label: How well local church works with youth Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXCELLENT 2 VERY GOOD 3 GOOD 4 FAIR 5 POOR 8 DK 9 NA	1241
WORSHIP	Label: How good local church woR'ship services Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXCELLENT 2 VERY GOOD 3 GOOD 4 FAIR 5 POOR 8 DK 9 NA	1242
OWNTHING	Label: Youthful protest is good Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1243
TALKBACK	Label: Talking back to parents is bad Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1244
TWOCLASS	Label: Weak vs. strong Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1245
OPENMIND	Label: Treat dissenters with leniency Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1246
WHYPOOR1	Label: Poor schools Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT IMPORTANT 8 DONT KNOW 9 NA	1247
WHYPOOR2	Label: Loose morals and drunkenness Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT IMPORTANT 8 DONT KNOW 9 NA	1248
WHYPOOR3	Label: Not enough jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT IMPORTANT 8 DONT KNOW 9 NA	1249
WHYPOOR4	Label: Lack of effort Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT IMPORTANT 8 DONT KNOW 9 NA	1250
SOCDIF1	Label: Income differences an incentive Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 DISAGREE 4 DISAGREE STRONGLY 8 DONT KNOW 9 NA	1251
SOCDIF2	Label: Paid what you need Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 DISAGREE 4 DISAGREE STRONGLY 8 DONT KNOW 9 NA	1252
SOCDIF3	Label: Study for years to get high pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 DISAGREE 4 DISAGREE STRONGLY 8 DONT KNOW 9 NA	1253
SOCDIF4	Label: Don't give equal chance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 DISAGREE 4 DISAGREE STRONGLY 8 DONT KNOW 9 NA	1254
WLTHWHTS	Label: Rich - poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 RICH 7 POOR 8 DONT KNOW 9 NA	1255
WLTHJewS	Label: Rich - poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 RICH 7 POOR 8 DONT KNOW 9 NA	1256
WLTHBLKS	Label: Rich - poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 RICH 7 POOR 8 DONT KNOW 9 NA	1257
WLTHASNS	Label: Rich - poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 RICH 7 POOR 8 DONT KNOW 9 NA	1258
WLTHHSPS	Label: Rich - poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 RICH 7 POOR 8 DONT KNOW 9 NA	1259
WLTHSO	Label: Rich - poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 RICH 7 POOR 8 DONT KNOW 9 NA	1260
WORKWHTS	Label: Hard working - lazy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HARDWORKING 7 LAZY 8 DONT KNOW 9 NA	1261
WORKJewS	Label: Hard working - lazy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HARDWORKING 7 LAZY 8 DONT KNOW 9 NA	1262
WORKBLKS	Label: Hard working - lazy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HARDWORKING 7 LAZY 8 DONT KNOW 9 NA	1263
WORKASNS	Label: Hard working - lazy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HARDWORKING 7 LAZY 8 DONT KNOW 9 NA	1264
WORKHSPS	Label: Hard working -lazy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HARDWORKING 7 LAZY 8 DONT KNOW 9 NA	1265
WORKSO	Label: Hard working - lazy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HARDWORKING 7 LAZY 8 DONT KNOW 9 NA	1266
VIOLWHTS	Label: Violent - not violent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VIOLENCE-PRONE 7 NOT VIOLENCE-PRONE 8 DONT KNOW 9 NA	1267
VIOLJewS	Label: Violent - not violent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VIOLENCE-PRONE 7 NOT VIOLENCE-PRONE 8 DONT KNOW 9 NA	1268
VIOLBLKS	Label: Violent - not violent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VIOLENCE-PRONE 7 NOT VIOLENCE-PRONE 8 DONT KNOW 9 NA	1269
VIOLASNS	Label: Violent - not violent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VIOLENCE-PRONE 7 NOT VIOLENCE-PRONE 8 DONT KNOW 9 NA	1270
VIOLHSPS	Label: Violent - not violent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VIOLENCE-PRONE 7 NOT VIOLENCE-PRONE 8 DONT KNOW 9 NA	1271
VIOLSO	Label: Violent - not violent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VIOLENCE-PRONE 7 NOT VIOLENCE-PRONE 8 DONT KNOW 9 NA	1272
INTLWHTS	Label: Unintelligent -intelligent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNINTELLIGENT 7 INTELLIGENT 8 DONT KNOW 9 NA	1273
INTLJewS	Label: Unintelligent - intelligent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNINTELLIGENT 7 INTELLIGENT 8 DONT KNOW 9 NA	1274
INTLBLKS	Label: Unintelligent - intelligent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNINTELLIGENT 7 INTELLIGENT 8 DONT KNOW 9 NA	1275
INTLASNS	Label: Unintelligent - intelligent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNINTELLIGENT 7 INTELLIGENT 8 DONT KNOW 9 NA	1276
INTLHSPS	Label: Unintelligent - intelligent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNINTELLIGENT 7 INTELLIGENT 8 DONT KNOW 9 NA	1277
INTLSO	Label: Unintelligent - intelligent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UNINTELLIGENT 7 INTELLIGENT 8 DONT KNOW 9 NA	1278
FAREWHTS	Label: Self supporting - live off welfare Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-SUPPORTING 7 LIVE OFF WELFARE 8 DONT KNOW 9 NA	1279
FAREJewS	Label: Self supporting - live off welfare Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-SUPPORTING 7 LIVE OFF WELFARE 8 DONT KNOW 9 NA	1280
FAREBLKS	Label: Self supporting - live off welfare Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-SUPPORTING 7 LIVE OFF WELFARE 8 DONT KNOW 9 NA	1281
FAREASNS	Label: Self supporting - live off welfare Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-SUPPORTING 7 LIVE OFF WELFARE 8 DONT KNOW 9 NA	1282
FAREHSPS	Label: Self supporting - live off welfare Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-SUPPORTING 7 LIVE OFF WELFARE 8 DONT KNOW 9 NA	1283
FARESO	Label: Self supporting - live off welfare Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-SUPPORTING 7 LIVE OFF WELFARE 8 DONT KNOW 9 NA	1284
PATRWHTS	Label: Unpatriotic - patriotic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PATRIOTIC 7 UNPATRIOTIC 8 DONT KNOW 9 NA	1285
PATRJewS	Label: Unpatriotic - patriotic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PATRIOTIC 7 UNPATRIOTIC 8 DONT KNOW 9 NA	1286
PATRBLKS	Label: Unpatriotic - patriotic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PATRIOTIC 7 UNPATRIOTIC 8 DONT KNOW 9 NA	1287
PATRASNS	Label: Unpatriotic - patriotic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PATRIOTIC 7 UNPATRIOTIC 8 DONT KNOW 9 NA	1288
PATRHSPS	Label: Unpatriotic - patriotic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PATRIOTIC 7 UNPATRIOTIC 8 DONT KNOW 9 NA	1289
PATRSO	Label: Unpatriotic - patriotic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PATRIOTIC 7 UNPATRIOTIC 8 DONT KNOW 9 NA	1290
LIVEJewS	Label: Neighborhood half Jewish Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1291
LIVEBLKS	Label: Neighborhood half black Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1292
LIVEASNS	Label: Neighborhood half Asian Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1293
LIVEHSPS	Label: Neighborhood half Hispanic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1294
LIVENO	Label: Neighborhood half northern white Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1295
LIVESO	Label: Neighborhood half southern white Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1296
LIVEWHTS	Label: R favors living in half white neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1297
MARJew	Label: Close relative marry Jew Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1298
MARBLK	Label: Close relative marry black Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1299
MARAsian	Label: Close relative marry Asian Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1300
MARHISP	Label: Close relative marry Hispanic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1301
MARNO	Label: Close relative marry no. white Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1302
MARSO	Label: Close relative marry so. white Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1303
MARWHT	Label: R favor close relative marrying white person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1304
WORKFARE	Label: Work to get welfare Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1305
LESSFARE	Label: If less welfare more will work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1306
POVZONE	Label: Tax breaks for poor areas Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1307
POVSCHS	Label: Spend more on poor schools Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1308
POVCOL	Label: Give college aid to poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1309
BLKZONE	Label: Tax breaks for black areas Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1310
BLKSCHS	Label: Spend more on black schools Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1311
BLKCOL	Label: Give college aid to blacks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1312
RACQUOTA	Label: Forbid racial job quotas Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA	1313
INFLUWHT	Label: Influence of whites Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH INFLUENCE 2 RIGHT AMOUNT 3 TOO LITTLE INFLUENCE 8 DONT KNOW 9 NA	1314
INFLUJew	Label: Influence of Jews Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH INFLUENCE 2 RIGHT AMOUNT 3 TOO LITTLE INFLUENCE 8 DONT KNOW 9 NA	1315
INFLUBLK	Label: Influence of blacks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH INFLUENCE 2 RIGHT AMOUNT 3 TOO LITTLE INFLUENCE 8 DONT KNOW 9 NA	1316
INFLUASN	Label: Influence of Asians Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH INFLUENCE 2 RIGHT AMOUNT 3 TOO LITTLE INFLUENCE 8 DONT KNOW 9 NA	1317
INFLUHSP	Label: Influence of Hispanics Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH INFLUENCE 2 RIGHT AMOUNT 3 TOO LITTLE INFLUENCE 8 DONT KNOW 9 NA	1318
INFLUSO	Label: Influence of so. whites Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH INFLUENCE 2 RIGHT AMOUNT 3 TOO LITTLE INFLUENCE 8 DONT KNOW 9 NA	1319
HSPJOBS	Label: Hispanics discriminated in jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A LOT 2 SOME 3 ONLY A LITTLE 4 NONE AT ALL 8 DONT KNOW 9 NA	1320
BLKJOBS	Label: Blacks discriminated in jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A LOT 2 SOME 3 ONLY A LITTLE 4 NONE AT ALL 8 DONT KNOW 9 NA	1321
ASNJOBS	Label: Asians discriminated in jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A LOT 2 SOME 3 ONLY A LITTLE 4 NONE AT ALL 8 DONT KNOW 9 NA	1322
HSPHOUSE	Label: Hispanics discriminated in housing Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A LOT 2 SOME 3 ONLY A LITTLE 4 NONE AT ALL 8 DONT KNOW 9 NA	1323
BLKHOUSE	Label: Blacks discriminated in housing Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A LOT 2 SOME 3 ONLY A LITTLE 4 NONE AT ALL 8 DONT KNOW 9 NA	1324
ASNHOUSE	Label: Asians discriminated in housing Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A LOT 2 SOME 3 ONLY A LITTLE 4 NONE AT ALL 8 DONT KNOW 9 NA	1325
RACWORK	Label: Racial makeup of workplace Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL WHITE 2 MOSTLY WHITE 3 HALF WHITE-BLACK 4 MOSTLY BLACK 5 ALL BLACK 6 WORKS ALONE 8 DON'T KNOW 9 NA	1326
AFFACT	Label: R's firm has aff. action program Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1327
DISCAFF	Label: Whites hurt by aff. action Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 8 DONT KNOW 9 NA	1328
DISCWHY1	Label: Personally experienced it Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DONT KNOW 9 NA	1329
DISCWHY2	Label: Happened to someone close Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DONT KNOW 9 NA	1330
DISCWHY3	Label: Happened at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DONT KNOW 9 NA	1331
DISCWHY4	Label: Heard about it in media Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DONT KNOW 9 NA	1332
DISCWHY5	Label: Heard about it elsewhere Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MENTIONED 2 NOT MENTIONED 8 DONT KNOW 9 NA	1333
DISCWHY6	Label: Other sources Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GENERAL,NO SOURCE 2 ALL OF THE ABOVE 3 THE LAW 8 DONT KNOW 9 NA	1334
GENEJOB	Label: Should employers give genetic tests Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	1335
GENEHIRE	Label: Employers' right to hire by genetic tests Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	1336
GENECANX	Label: Employer test cancer or safeworkplace Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	1337
GENECANY	Label: Employers' right to hire by cancertests Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA	1338
GENEGETS	Label: Employer vs. employee on access right to results Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EMPLOYER SHOULD 2 WORKER SHOULD 3 BOTH - VOLUNTARY 8 DK 9 NA	1339
PROFITS1	Label: Whether management only care about profit Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1340
PROFITS2	Label: Should co. pay workers more than shareholders Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1341
UNPOWER	Label: Unions in this country have too little power Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1342
UNPROG	Label: Unions just block economic progress Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1343
OUTOFBIZ	Label: The organization went out of business Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1344
MERGED	Label: The org. was merged, taken over Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1345
REORG	Label: There was a major reorganization Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1346
ORGFIN	Label: R's financial situation after org. changes Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 BETTER 3 WORSE 4 MUCH WORSE 5 NO EFFECT 8 DK 9 NA	1347
WRKYEARS	Label: #Years you have worked for pay since were 16 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1348
EVUNEMP	Label: Ever been unemployed two weeks + Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 7 NEVER FULL-TIME 9 NA	1349
NUMUNEMP	Label: How many times unemployed more than two weeks Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 96 96 OR MORE 98 DK 99 NA	1350
TOTUNEMP	Label: Total times unemployed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 2-8 WEEKS 2 8 WEEK - 6 MON 3 6-12 MON 4 > 1 YEAR 8 DK 9 NA	1351
EMPYEARS	Label: Years worked for your present employer Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1; 99.98; 99.98999999999999 Value Label -1.00 IAP	1352
FNDJOB1	Label: Heard job from one already worked there Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1353
FNDJOB2	Label: Heard job from relatives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1354
FNDJOB3	Label: Heard job from friends Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1355
FNDJOB4	Label: Heard job from acquaintances Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1356
FNDJOB5	Label: Heard job from newspaper ad Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1357
FNDJOB6	Label: Heard job through employment agency Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1358
FNDJOB7	Label: Heard job from recruiter for this employer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1359
FNDJOB8	Label: Heard job just came here and asked for work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1360
FNDJOB9	Label: Heard job other (specify) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 UNION 2 SCHOOL 3 SELF-EMPLOYED,CREATED JOB 4 ANNOUNCEMENT,NEWSPAPER 7 OTHER 9 NA	1361
INTLTEST	Label: Before got the job took an intelligence test Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1362
SKILTEST	Label: Before got the job took a skill test Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1363
DRUGTEST	Label: Before got the job took a drug and alcohol test Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1364
PHYSICAL	Label: Before got the job took a physical test Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1365
LTRSREF	Label: Supply letters of reference Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1366
SAMEJOB	Label: Current job same or different fromfirst job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 JOB HAVE NOW 2 DIFFERENT JOB 9 NA	1367
JOBYEARS	Label: For how long have you had your present job Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1; 99.98; 99.98999999999999 Value Label -1.00 IAP 99.99 NA	1368
THISJOB1	Label: Heard job from a notices posted my workplace Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1369
THISJOB2	Label: Heard job through my union Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1370
THISJOB3	Label: Heard job from my supervisor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1371
THISJOB4	Label: Heard job from one of my coworkers Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1372
THISJOB5	Label: Heard job i near the top of a seniority list Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1373
THISJOB6	Label: Heard job i was asked to take the new job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1374
THISJOB7	Label: Heard job others (specify) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 RELATIVE 2 FRIEND 3 PERSONNEL 7 OTHER 9 NA	1375
PROMOTNG	Label: Procedures for promotion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1376
PROMOTED	Label: Ever promoted by current employer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1377
NUMPROMO	Label: #Promotions have you received Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 7 7 or more 8 DK 9 NA	1378
IMPPROMO	Label: Importance of the opportunity to be promoted Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 5 DOES NOT APPLY, VOLUNTEERED 8 DK 9 NA	1379
FUTPROMO	Label: How likely you will be promoted next five years Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 LIKELY 3 NOT VERY LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	1380
SEXPROMO	Label: Sex makes your promotion different Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BETTER 2 WORSE 3 NO EFFECT 8 DK 9 NA	1381
RACPROMO	Label: Ethnic background makes your promotion different Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BETTER 2 WORSE 3 NO EFFECT 8 DK 9 NA	1382
ADVANCES	Label: Have you advanced, same level or lost Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ADVANCED RAPIDLY 2 STEADY ADVANCE 3 SAMELEVEL 4 LOST SOME GROUND 7 1ST JOB WITH ORG 9 NA	1383
JOBCNTRL	Label: Who makes decision for your job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OTHER DECIDE WHAT AND HOW I DO 2 OTHER DECIDE WHAT BUT NOT HOW 3 I DECIDE SOME WHAT AND HOW I DO 4 I AM MY OWN BOSS 9 NA	1384
WRKINDEP	Label: I can work independently Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 TRUE 3 SOMEWHAT TRUE 4 NOT TRUE AT ALL 8 DK 9 NA	1385
LOTTOSAY	Label: I have a lot to say on my job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 TRUE 3 SOMEWHAT TRUE 4 NOT TRUE AT ALL 8 DK 9 NA	1386
IDECIDE	Label: My job allows me make part decisions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 TRUE 3 SOMEWHAT TRUE 4 NOT TRUE AT ALL 8 DK 9 NA	1387
AUTOMATN	Label: My job is controlled by my machine Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 TRUE 3 SOMEWHAT TRUE 4 NOT TRUE AT ALL 8 DK 9 NA	1388
MONITRED	Label: Computers monitor my job performance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 TRUE 3 SOMEWHAT TRUE 4 NOT TRUE AT ALL 8 DK 9 NA	1389
OFFSUP	Label: Do you supervise the work of other employees Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1390
YOUSUP	Label: How many people do you supervise directly Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 999 NA	1391
SUPOTHRS	Label: Any people supervised by you supervise others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1392
LEVELS	Label: How many levels of supervision beneath you Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	1393
TOTSUP	Label: How many people responsible to you Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	1394
SUPDUTY1	Label: You train employees safe use equipment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1395
SUPDUTY2	Label: You train employees in other ways Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1396
SUPDUTY3	Label: You organize schedules or tasks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1397
SUPDUTY4	Label: You devise new ways of doing tasks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1398
SUPDUTY5	Label: You check workers' progress, attendance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1399
SUPDUTY6	Label: You evaluate job performance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1400
SUPDUTY7	Label: You take promotions or disciplinary actions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1401
OTHDUTY1	Label: You train employees safe use equip. not supervise Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1402
OTHDUTY2	Label: You train employees in other ways, not supervise Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1403
OTHDUTY3	Label: You organize schedules or tasks, not supervise Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1404
OTHDUTY4	Label: You devise new ways of doing tasks, not supervise Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1405
OTHDUTY5	Label: You check progress or attendance, not supervise Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1406
OTHDUTY6	Label: You evaluate job performance, not supervise Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1407
OTHDUTY7	Label: You promote or discipline actions, not supervise Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1408
ORGMONEY	Label: Participate in decisions about org's money Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1409
TOTMONEY	Label: How much money in the largest of these decisions Format: F7.0 Measure: Scale Display Width: 8 Missing Values: 0; 9999998; 9999999 Value Label 0 IAP 9999996 $9999996 OR MORE 9999998 DK 9999999 NA	1410
YOUMONEY	Label: Largest decision in which you had the final say Format: F7.0 Measure: Scale Display Width: 8 Missing Values: 0; 9999998; 9999999 Value Label 0 IAP 9999996 $9999996 OR MORE 9999998 DK 9999999 NA	1411
JOBJUDGE	Label: Someone evaluate your performance regularly Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1412
QUANTITY	Label: How easy your supervisor know how much you do Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY EASY 2 SOMEWHAT EASY 3 SOMEWHAT HARD 4 VERY HARD 8 DK 9 NA	1413
QUALITY	Label: How easy your supervisor know how good you are Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY EASY 2 SOMEWHAT EASY 3 SOMEWHAT HARD 4 VERY HARD 8 DK 9 NA	1414
WRKWELL	Label: How well youcompare to people do same job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 SOMEWHAT BETTER 3 ABOUT SAME 4 SOMEWHAT WORSE 5 MUCH WORSE 8 DK 9 NA	1415
WRKMUCH	Label: How much you compare to people do same job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH MORE 2 SOMEWHAT MORE 3 ABOUT SAME 4 SOMEWHAT LESS 5 MUCH LESS 8 DK 9 NA	1416
IMATTER	Label: Success of my org. depends lot on how well i do Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1417
HELPORG	Label: Willing work harder than have to help org. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1418
NOTLOYAL	Label: Feel very little loyalty to this org. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1419
STAYORG1	Label: Would take any job to keep working for this org. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1420
SAMEVALS	Label: My values and the org.'s values are very similar Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1421
PROUDORG	Label: Proud to be working for this org. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1422
STAYORG2	Label: Turn down another job for pay to stay this org. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1423
NOTICED	Label: People usually notice when i do my job well Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1424
CHNGEORG	Label: How likely I'll try to find job in another org. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL LIKELY 2 SOMEWAHT LIKELY 3 VERY LIKELY 8 DK 9 NA	1425
OTHPAY	Label: Get commissions, bonuses, tips from main job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1426
RAISEALL	Label: All workers regardless of performance got raise Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1427
RAISEHRD	Label: Workers who work hard and perform well got raise Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1428
RAISEFAV	Label: Workers have favored relation to boss got raise Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1429
FRINGE1	Label: Medical or hospital insurance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1430
FRINGE2	Label: Dental care benefits Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1431
FRINGE3	Label: Life insurance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1432
FRINGE4	Label: Sick leave with full pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1433
FRINGE5	Label: Maternity leave with full re-employment rights Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1434
FRINGE6	Label: Flexible hours, or flextime scheduling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1435
FRINGE7	Label: Cash or stock bonuses for performance or merit Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1436
FRINGE8	Label: A pension or retirement program Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1437
FRINGE9	Label: Profit sharing or stock option program Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1438
FRINGE10	Label: Information about child care services in company Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1439
FRINGE11	Label: Assistance with the costs of day care for children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1440
JOBVSHME	Label: How often your family interfered with your job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 FREQUENTLY 2 SOMETIMES 3 SELDOM 4 NEVER 9 NA	1441
UNVOTE	Label: Would you vote for or against having a union Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FOR 2 AGAINST 8 DK 9 NA	1442
UNMANREL	Label: Relations between management and workers Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY 2 QUITE GOOD 3 NEITHER GOOD NOR BAD 4 QUITE BAD 5 VERY BAD 8 DK 9 NA	1443
COWRKREL	Label: Relations between coworkers Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY 2 QUITE GOOD 3 NEITHER GOOD NOR BAD 4 QUITE BAD 5 VERY BAD 8 DK 9 NA	1444
SCHOOLNG	Label: Importance formal school for you job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA	1445
TRAINING	Label: Importance of on-the-job training for you job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA	1446
LEARNING	Label: Importance of learning from co-workers for you job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA	1447
EXPTRAIN	Label: Importance of different employer training for job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA	1448
WHEREWRK	Label: Doing your job in one or several different places Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 SOME PLACE 2 DIFFERENT 9 NA	1449
FINDOUT	Label: Can find out where you will be working Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1450
BASEOFOP	Label: You have base of operations Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	1451
SPLOCNUM	Label: #Of workers at the location your spouse works Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1-9 2 10-49 3 50-99 4 100-499 5 500-999 6 1,000-1,999 7 2,000+ 8 DONT KNOW 9 NA	1452
STANDUP	Label: Stand up for your own opinion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD STAND UP REGARDLESS 2 KEEP IT YOURSELF IF OFFEND OTHERS 3 NEITHER 8 DK 9 NA	1453
SELFIRST	Label: Take care of yourself first before others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	1454
RICHPOOR	Label: Ok to get rich even if others poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	1455
OPOUTCME	Label: Should amer promote eq oppty or eq outcomes? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROMOTE EQUAL OPPOTUNITY 2 PROMOTE EQUAL OUTCOMES 3 OTHER 8 DK 9 NA	1456
UNITED	Label: Americans united or divided on values Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AMERICAN ARE UNITED 2 AMERICAN ARE DIVIDED 8 DK 9 NA	1457
OBTOHELP	Label: Obligation to care for ill parent or spouse? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IT IS OBLGATION 2 ONLY IF THEY WANT TO 3 OTHER 8 DK 9 NA	1458
LFEGOD	Label: Life outcome decided by god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA	1459
LFEGENES	Label: Some with better genes than others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA	1460
LFESOCTY	Label: Society gives some head start & holds back others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA	1461
LFEHRDWK	Label: Some people work harder than others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA	1462
LFECHNCE	Label: Life is a matter of chance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA	1463
BIGBAND	Label: Like or dislike bigband music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1464
BLUGRASS	Label: Like or dislike bluegrass music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1465
COUNTRY	Label: Like or dislike country western music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1466
BLUES	Label: Like or dislike blues or R and b music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1467
MUSICALS	Label: Like or dislike broadway musicals Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1468
CLASSICL	Label: Like or dislike classical music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1469
FOLK	Label: Like or dislike folk music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1470
GOSPEL	Label: Like or dislike gospel music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1471
JAZZ	Label: Like or dislike jazz Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1472
LATIN	Label: Like or dislike latin music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1473
MOODEASY	Label: Like or dislike easy listening music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1474
NEWAGE	Label: Like or dislike new age music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1475
OPERA	Label: Like or dislike opera Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1476
RAP	Label: Like or dislike rap music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1477
REGGAE	Label: Like or dislike reggae music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1478
CONROCK	Label: Like or dislike contemporary rock music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1479
OLDIES	Label: Like or dislike oldies rock music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1480
HVYMETAL	Label: Like or dislike heavy metal music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA	1481
ATTSPRTS	Label: Attended sports event in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1482
VISITART	Label: Visited art museum or gallery in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1483
MAKEART	Label: Made art or craft object in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1484
AUTORACE	Label: Attended auto race in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1485
CAMPING	Label: Went camping in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1486
GARDEN	Label: Grew vegetables or floweR's in garden in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1487
DANCE	Label: Attended dance perf in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1488
GOMUSIC	Label: Attended classical or opera in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1489
HUNTFISH	Label: Went hunting or fishing in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1490
PERFORM	Label: Performed music, dance, theater in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1491
DOSPORTS	Label: Played sports in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1492
SEEMOVIE	Label: Went to a movie in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1493
USEVCR	Label: Used vcr in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1494
PLYMUSIC	Label: Played a musical instrument in Lst yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1495
TVSHOWS	Label: How often R watches TV drama or sitcoms Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DAILY 2 SEVRL DAYS IN WEEK 3 SEVRL DAYS IN MONTH 4 RARELY 5 NEVER 8 DK 9 NA	1496
TVNEWS	Label: How often R watches TV news Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DAILY 2 SEVRL DAYS IN WEEK 3 SEVRL DAYS IN MONTH 4 RARELY 5 NEVER 8 DK 9 NA	1497
TVPBS	Label: How often R watches public TV shows Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DAILY 2 SEVRL DAYS IN WEEK 3 SEVRL DAYS IN MONTH 4 RARELY 5 NEVER 8 DK 9 NA	1498
JUDGEART	Label: Only a few people can judge art Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1499
TRSTPROF	Label: Trust profs judgments in assigning reading Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1500
CLASSICS	Label: Hs and coll studts read too many classics Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1501
GRTBOOKS	Label: Appeal of greatest books is univeR'sal Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1502
MODPAINT	Label: Modern painting is just slapped on Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1503
English	Label: Better if English is only language used in school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1504
PCLIT	Label: Shame tradl amer lit ignored for minority lit Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1505
EXCELART	Label: Artistic excellence found in folk art Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1506
HOSTHOME	Label: Uncomf entertaining strangeR's at home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1507
FRDCREAT	Label: Desir qualities of friend: creative Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1508
FRDCULTR	Label: Desir qualities of friend: cultured Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1509
FRDDYNAM	Label: Desir qualities of friend: dynamic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1510
FRDFUN	Label: Desir qualities of friend: fun-loving Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1511
FRDHONST	Label: Desir qualities of friend: honest Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1512
FRDINTEL	Label: Desir qualities of friend: intelligent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1513
FRDRESP	Label: Desir qualities of friend: responsible Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1514
IMPFINAN	Label: Imp to R of financial security Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1515
IMPMAR	Label: Imp to R of being married Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1516
IMPKIDS	Label: Imp to R of having children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1517
IMPGOD	Label: Imp to R of having faith in god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1518
IMPTHNGS	Label: Imp to R of having nice things Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Disagree 2 Disagree 3 Neither agree nor disagree 4 Agree 5 Strongly disagree 8 DON'T KNOW 9 No answer	1519
IMPCULTR	Label: Imp to R of being cultured Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1520
IMPJOB	Label: Imp to R of having a fulfilling job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1521
IMPSELF	Label: Imp to R of being self-sufficient Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA	1522
MOSTIMP1	Label: Most imp event in Lst 60 yrs Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 990 OTHER 995 PERSONAL 996 NONE, NO EVENT 998 DK 999 NA	1523
MOSTIMP2	Label: 2nd most imp event in Lst 60 yrs Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 990 OTHER 995 PERSONAL 996 NONE, NO EVENT 998 DK 999 NA	1524
MOSTIMP3	Label: 3rd imp event in Lst 60 yrs Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 990 OTHER 995 PERSONAL 996 NONE, NO EVENT 998 DK 999 NA	1525
MOSTIMP4	Label: 4th imp event in Lst 60 yrs Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 990 OTHER 995 PERSONAL 996 NONE, NO EVENT 998 DK 999 NA	1526
COLMAJR1	Label: R major in college Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 NONE 1 ENGLISH, LITERATURE 2 FOREIGN LANGUAGE 3 FINE ARTS 4 OTHER HUMANITIES 5 ECONOMICS 6 PSYCHOLOGY 7 GOVERNMENT-CIVICS 8 SOCIAL SCIENCE-OTHER SOCIAL STUDY 9 MATHEMATICS 10 SCIENCE 11 OTHER 12 BUSINESS 13 EDUCATION 14 ENGINEERING 15 OTHER VOCATIONAL 99 NA	1527
COLMAJR2	Label: R 2nd major in college Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP, NO 2ND MENTION 0 NONE 1 ENGLISH, LITERATURE 2 FOREIGN LANGUAGE 3 FINE ARTS 4 OTHER HUMANITIES 5 ECONOMICS 6 PSYCHOLOGY 7 GOVERNMENT-CIVICS 8 SOCIAL SCIENCE-OTHER SOCIAL STUDY 9 MATHEMATICS 10 SCIENCE 11 OTHER 12 BUSINESS 13 EDUCATION 14 ENGINEERING 15 OTHER VOCATIONAL 99 NA	1528
HSCLASS1	Label: R favorite subject in hs Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 NONE 1 ENGLISH, LITERATURE 2 FOREIGN LANGUAGE 3 FINE ARTS 4 OTHER HUMANITIES 5 ECONOMICS 6 PSYCHOLOGY 7 GOVERNMENT-CIVICS 8 SOCIAL SCIENCE-OTHER SOCIAL STUDY 9 MATHEMATICS 10 SCIENCE 11 OTHER 12 BUSINESS 13 EDUCATION 14 ENGINEERING 15 OTHER VOCATIONAL 99 NA	1529
HSCLASS2	Label: R 2nd favorite subject in hs Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP, NO 2ND MENTION 0 NONE 1 ENGLISH, LITERATURE 2 FOREIGN LANGUAGE 3 FINE ARTS 4 OTHER HUMANITIES 5 ECONOMICS 6 PSYCHOLOGY 7 GOVERNMENT-CIVICS 8 SOCIAL SCIENCE-OTHER SOCIAL STUDY 9 MATHEMATICS 10 SCIENCE 11 OTHER 12 BUSINESS 13 EDUCATION 14 ENGINEERING 15 OTHER VOCATIONAL 99 NA	1530
MALIVE1	Label: R mother alive Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1531
MAYRBORN	Label: Yr R mother born Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	1532
MAYRDIED	Label: Yr R mother died Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	1533
PALIVE1	Label: R father alive Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1534
PAYRBORN	Label: Yr R father born Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	1535
PAYRDIED	Label: Yr R father died Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	1536
DATESCH	Label: Date schooling completed Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	1537
NEVERWK	Label: R never worked full-time after school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER WORKED 2 WORKED 8 DK 9 NA	1538
OCCFIRST	Label: R first occupation Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	1539
PRESFRST	Label: Prestige of R first job Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	1540
WRKSLFST	Label: R 1st job: self-employed or no? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF EMPLOYED 2 SOMEONE ELSE 8 DK 9 NA	1541
INDFIRST	Label: Industry of R first job Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	1542
DATEFRST	Label: Month and yr began first job Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	1543
ALIKE1	Label: How alike: orange & banana Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 COMPLETELY WRONG 1 PARTIALLY RIGHT 2 COMPLETELY RIGHT 8 DK 9 NA	1544
ALIKE2	Label: How alike: dog & lion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 COMPLETELY WRONG 1 PARTIALLY RIGHT 2 COMPLETELY RIGHT 8 DK 9 NA	1545
ALIKE3	Label: How alike: eye & ear Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 COMPLETELY WRONG 1 PARTIALLY RIGHT 2 COMPLETELY RIGHT 8 DK 9 NA	1546
ALIKE4	Label: How alike: egg & seed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 COMPLETELY WRONG 1 PARTIALLY RIGHT 2 COMPLETELY RIGHT 8 DK 9 NA	1547
ALIKE5	Label: How alike: table & chair Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 COMPLETELY WRONG 1 PARTIALLY RIGHT 2 COMPLETELY RIGHT 8 DK 9 NA	1548
ALIKE6	Label: How alike: work & play Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 COMPLETELY WRONG 1 PARTIALLY RIGHT 2 COMPLETELY RIGHT 8 DK 9 NA	1549
ALIKE7	Label: How alike: fly & tree Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 COMPLETELY WRONG 1 PARTIALLY RIGHT 2 COMPLETELY RIGHT 8 DK 9 NA	1550
ALIKE8	Label: How alike: praise & punishment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 COMPLETELY WRONG 1 PARTIALLY RIGHT 2 COMPLETELY RIGHT 8 DK 9 NA	1551
MARNUM	Label: R married more than once? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1552
FSTSPYR	Label: Year first spouse born Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	1553
FSTSPEDC	Label: Educ of first spouse Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 97; 98; 99 Value Label 97 IAP 98 DK 99 NA	1554
FSTSPDEG	Label: Highest degree of first spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7; 8; 9 Value Label 0 LT HIGH SCHOOL 1 HIGH SCHOOL 2 JUNIOR COLLEGE 3 BACHELOR 4 GRADUATE 7 IAP 8 DK 9 NA	1555
FSTSPPED	Label: 1st spouse's Father's highest yr of school Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label 97 IAP 98 DK 99 NA	1556
FSTSPMED	Label: 1st spouse's Mothers highest yr of school Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label 97 IAP 98 DK 99 NA	1557
AGEWEDCR	Label: R's age at current marriage Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	1558
SPYRBORN	Label: Birth yr of current spouse Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	1559
SPMARNUM	Label: Has current spouse been married before? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1560
SPFAM16	Label: Did spouse live at home at age 16? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 OTHER 1 BOTH OWN MOTHER AND FATHER 2 FATHER AND STEPMOTHER 3 MOTHER AND STEPFATHER 4 FATHER-NO MOTHER OR STEPMOTHER 5 MOTHER-NO FATHER OR STEPFATHER 6 SOME OTHER MALE RELATIVE -NO FEMALE HEAD- 7 SOME OTHER FEMALE RELATIVE -NO MALE HEAD- 8 OTHER, WITH BOTH MALE AND FEMALE RELATIVES 9 NA	1561
SPPAEDUC	Label: Highest schl grade spouse's father completed Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1562
SPMAEDUC	Label: Highest schl grade spouse's mother completed Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1563
SPHEDOCC	Label: Spouse's Father's occ when spouse was 16 Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	1564
SPHEDPRE	Label: Spouse's Father's occ pres when spouse was 16 (1980) Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	1565
SPHEDSLF	Label: Spouse's father self-emp when spouse was 16? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF EMPLOYED 2 SOMEONE ELSE 8 DK 9 NA	1566
SPHEDIND	Label: Spouse's Father's ind when spouse was 16 Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	1567
SPHEDOCC10	Label: Spouse's Father's occ when spouse was 16 (2010) Format: F8.0 Measure: Scale Display Width: 12 Missing Values: 0; 9998; 9999 Value Label 0 IAP 10 Chief executives 20 General and operations managers 30 Legislators 40 Advertising and promotions managers 50 Marketing and sales managers 60 Public relations and fundraising managers 100 Administrative services managers 110 Computer and information systems managers 120 Financial managers 135 Compensation and benefits managers 136 Human resources managers 137 Training and development managers 140 Industrial production managers 150 Purchasing managers 160 Transportation, storage, and distribution managers 205 Farmers, ranchers, and other agricultural managers 220 Construction managers 230 Education administrators 300 Architectural and engineering managers 310 Food service managers 325 Funeral service managers 330 Gaming managers 340 Lodging managers 350 Medical and health services managers 360 Natural sciences managers 400 Postmasters and mail superintendents 410 Property, real estate, and community association managers 420 Social and community service managers 425 Emergency management directors 430 Managers, all other 500 Agents and business managers of artists, performers, 510 Buyers and purchasing agents, farm products 520 Wholesale and retail buyers, except farm products 530 Purchasing agents, except wholesale, retail, and farm products 540 Claims adjusters, appraisers, examiners, and investigators 565 Compliance officers 600 Cost estimators 630 Human resources workers 640 Compensation, benefits, and job analysis specialists 650 Training and development specialists 700 Logisticians 710 Management analysts 725 Meeting, convention, and event planners 726 Fundraisers 735 Market research analysts and marketing specialists 740 Business operations specialists, all other 800 Accountants and auditors 810 Appraisers and assessors of real estate 820 Budget analysts 830 Credit analysts 840 Financial analysts 850 Personal financial advisors 860 Insurance underwriters 900 Financial examiners 910 Credit counselors and loan officers 930 Tax examiners and collectors, and revenue agents 940 Tax preparers 950 Financial specialists, all other 1005 Computer and information research scientists 1006 Computer systems analysts 1007 Information security analysts 1010 Computer programmers 1020 Software developers, applications and systems software 1030 Web developers 1050 Computer support specialists 1060 Database administrators 1105 Network and computer systems administrators 1106 Computer network architects 1107 Computer occupations, all other 1200 Actuaries 1210 Mathematicians 1220 Operations research analysts 1230 Statisticians 1240 Miscellaneous mathematical science occupations 1300 Architects, except naval 1310 Surveyors, cartographers, and photogrammetrists 1320 Aerospace engineers 1330 Agricultural engineers 1340 Biomedical engineers 1350 Chemical engineers 1360 Civil engineers 1400 Computer hardware engineers 1410 Electrical and electronics engineers 1420 Environmental engineers 1430 Industrial engineers, including health and safety 1440 Marine engineers and naval architects 1450 Materials engineers 1460 Mechanical engineers 1500 Mining and geological engineers, including mining safety engineers 1510 Nuclear engineers 1520 Petroleum engineers 1530 Engineers, all other 1540 Drafters 1550 Engineering technicians, except drafters 1560 Surveying and mapping technicians 1600 Agricultural and food scientists 1610 Biological scientists 1640 Conservation scientists and foresters 1650 Medical scientists 1660 Life scientists, all other 1700 Astronomers and physicists 1710 Atmospheric and space scientists 1720 Chemists and materials scientists 1740 Environmental scientists and geoscientists 1760 Physical scientists, all other 1800 Economists 1815 Survey researchers 1820 Psychologists 1830 Sociologists 1840 Urban and regional planners 1860 Miscellaneous social scientists and related workers 1900 Agricultural and food science technicians 1910 Biological technicians 1920 Chemical technicians 1930 Geological and petroleum technicians 1940 Nuclear technicians 1950 Social science research assistants 1965 Miscellaneous life, physical, and social science technicians 2000 Counselors 2010 Social workers 2015 Probation officers and correctional treatment specialists 2016 Social and human service assistants 2025 Miscellaneous community and social service specialists, 2040 Clergy 2050 Directors, religious activities and education 2060 Religious workers, all other 2100 Lawyers 2105 Judicial law clerks 2110 Judges, magistrates, and other judicial workers 2145 Paralegals and legal assistants 2160 Miscellaneous legal support workers 2200 Postsecondary teachers 2300 Preschool and kindergarten teachers 2310 Elementary and middle school teachers 2320 Secondary school teachers 2330 Special education teachers 2340 Other teachers and instructors 2400 Archivists, curators, and museum technicians 2430 Librarians 2440 Library technicians 2540 Teacher assistants 2550 Other education, training, and library workers 2600 Artists and related workers 2630 Designers 2700 Actors 2710 Producers and directors 2720 Athletes, coaches, umpires, and related workers 2740 Dancers and choreographers 2750 Musicians, singers, and related workers 2760 Entertainers and performers, sports and related workers, all other 2800 Announcers 2810 News analysts, reporters and correspondents 2825 Public relations specialists 2830 Editors 2840 Technical writers 2850 Writers and authors 2860 Miscellaneous media and communication workers 2900 Broadcast and sound engineering technicians and radio 2910 Photographers 2920 Television, video, and motion picture camera operators and 2960 Media and communication equipment workers, all other 3000 Chiropractors 3010 Dentists 3030 Dietitians and nutritionists 3040 Optometrists 3050 Pharmacists 3060 Physicians and surgeons 3110 Physician assistants 3120 Podiatrists 3140 Audiologists 3150 Occupational therapists 3160 Physical therapists 3200 Radiation therapists 3210 Recreational therapists 3220 Respiratory therapists 3230 Speech-language pathologists 3235 Exercise physiologists 3245 Therapists, all other 3250 Veterinarians 3255 Registered nurses 3256 Nurse anesthetists 3257 Nurse midwives 3258 Nurse practitioners 3260 Health diagnosing and treating practitioners, all other 3300 Clinical laboratory technologists and technicians 3310 Dental hygienists 3320 Diagnostic related technologists and technicians 3400 Emergency medical technicians and paramedics 3420 Health practitioner support technologists and technicians 3500 Licensed practical and licensed vocational nurses 3510 Medical records and health information technicians 3520 Opticians, dispensing 3535 Miscellaneous health technologists and technicians 3540 Other healthcare practitioners and technical occupations 3600 Nursing, psychiatric, and home health aides 3610 Occupational therapy assistants and aides 3620 Physical therapist assistants and aides 3630 Massage therapists 3640 Dental assistants 3645 Medical assistants 3646 Medical transcriptionists 3647 Pharmacy aides 3648 Veterinary assistants and laboratory animal caretakers 3649 Phlebotomists 3655 Miscellaneous healthcare support occupations, including medical equipment preparers 3700 First-line supervisors of correctional officers 3710 First-line supervisors of police and detectives 3720 First-line supervisors of fire fighting and prevention workers 3730 First-line supervisors of protective service workers, all other 3740 Firefighters 3750 Fire inspectors 3800 Bailiffs, correctional officers, and jailers 3820 Detectives and criminal investigators 3830 Fish and game wardens 3840 Parking enforcement workers 3850 Police and sheriff's patrol officers 3860 Transit and railroad police 3900 Animal control workers 3910 Private detectives and investigators 3930 Security guards and gaming surveillance officers 3940 Crossing guards 3945 Transportation security screeners 3955 Lifeguards and other recreational, and all other protective service workers 4000 Chefs and head cooks 4010 First-line supervisors of food preparation and serving workers 4020 Cooks 4030 Food preparation workers 4040 Bartenders 4050 Combined food preparation and serving workers, including fast food 4060 Counter attendants, cafeteria, food concession, and coffee shop 4110 Waiters and waitresses 4120 Food servers, nonrestaurant 4130 Dining room and cafeteria attendants and bartender helpers 4140 Dishwashers 4150 Hosts and hostesses, restaurant, lounge, and coffee shop 4160 Food preparation and serving related workers, all other 4200 First-line supervisors of housekeeping and janitorial workers 4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers 4220 Janitors and building cleaners 4230 Maids and housekeeping cleaners 4240 Pest control workers 4250 Grounds maintenance workers 4300 First-line supervisors of gaming workers 4320 First-line supervisors of personal service workers 4340 Animal trainers 4350 Nonfarm animal caretakers 4400 Gaming services workers 4410 Motion picture projectionists 4420 Ushers, lobby attendants, and ticket takers 4430 Miscellaneous entertainment attendants and related workers 4460 Embalmers and funeral attendants 4465 Morticians, undertakers, and funeral directors 4500 Barbers 4510 Hairdressers, hairstylists, and cosmetologists 4520 Miscellaneous personal appearance workers 4530 Baggage porters, bellhops, and concierges 4540 Tour and travel guides 4600 Childcare workers 4610 Personal care aides 4620 Recreation and fitness workers 4640 Residential advisors 4650 Personal care and service workers, all other 4700 First-line supervisors of retail sales workers 4710 First-line supervisors of non-retail sales workers 4720 Cashiers 4740 Counter and rental clerks 4750 Parts salespersons 4760 Retail salespersons 4800 Advertising sales agents 4810 Insurance sales agents 4820 Securities, commodities, and financial services sales agents 4830 Travel agents 4840 Sales representatives, services, all other 4850 Sales representatives, wholesale and manufacturing 4900 Models, demonstrators, and product promoters 4920 Real estate brokers and sales agents 4930 Sales engineers 4940 Telemarketers 4950 Door-to-door sales workers, news and street vendors, and related workers 4965 Sales and related workers, all other 5000 First-line supervisors of office and administrative support workers 5010 Switchboard operators, including answering service 5020 Telephone operators 5030 Communications equipment operators, all other 5100 Bill and account collectors 5110 Billing and posting clerks 5120 Bookkeeping, accounting, and auditing clerks 5130 Gaming cage workers 5140 Payroll and timekeeping clerks 5150 Procurement clerks 5160 Tellers 5165 Financial clerks, all other 5200 Brokerage clerks 5210 Correspondence clerks 5220 Court, municipal, and license clerks 5230 Credit authorizers, checkers, and clerks 5240 Customer service representatives 5250 Eligibility interviewers, government programs 5260 File Clerks 5300 Hotel, motel, and resort desk clerks 5310 Interviewers, except eligibility and loan 5320 Library assistants, clerical 5330 Loan interviewers and clerks 5340 New accounts clerks 5350 Order clerks 5360 Human resources assistants, except payroll and timekeeping 5400 Receptionists and information clerks 5410 Reservation and transportation ticket agents and travel clerks 5420 Information and record clerks, all other 5500 Cargo and freight agents 5510 Couriers and messengers 5520 Dispatchers 5530 Meter readers, utilities 5540 Postal service clerks 5550 Postal service mail carriers 5560 Postal service mail sorters, processors, and processing machine operators 5600 Production, planning, and expediting clerks 5610 Shipping, receiving, and traffic clerks 5620 Stock clerks and order fillers 5630 Weighers, measurers, checkers, and samplers, recordkeeping 5700 Secretaries and administrative assistants 5800 Computer operators 5810 Data entry keyers 5820 Word processors and typists 5830 Desktop publishers 5840 Insurance claims and policy processing clerks 5850 Mail clerks and mail machine operators, except postal service 5860 Office clerks, general 5900 Office machine operators, except computer 5910 Proofreaders and copy markers 5920 Statistical assistants 5940 Office and administrative support workers, all other 6005 First-line supervisors of farming, fishing, and forestry workers 6010 Agricultural inspectors 6020 Animal breeders 6040 Graders and sorters, agricultural products 6050 Miscellaneous agricultural workers 6100 Fishers and related fishing workers 6110 Hunters and trappers 6120 Forest and conservation workers 6130 Logging workers 6200 First-line supervisors of construction trades and extraction workers 6210 Boilermakers 6220 Brickmasons, blockmasons, and stonemasons 6230 Carpenters 6240 Carpet, floor, and tile installers and finishers 6250 Cement masons, concrete finishers, and terrazzo workers 6260 Construction laborers 6300 Paving, surfacing, and tamping equipment operators 6310 Pile-driver operators 6320 Operating engineers and other construction equipment operators 6330 Drywall installers, ceiling tile installers, and tapers 6355 Electricians 6360 Glaziers 6400 Insulation workers 6420 Painters, construction and maintenance 6430 Paperhangers 6440 Pipelayers, plumbers, pipefitters, and steamfitters 6460 Plasterers and stucco masons 6500 Reinforcing iron and rebar workers 6515 Roofers 6520 Sheet metal workers 6530 Structural iron and steel workers 6540 Solar photovoltaic installers 6600 Helpers, construction trades 6660 Construction and building inspectors 6700 Elevator installers and repairers 6710 Fence erectors 6720 Hazardous materials removal workers 6730 Highway maintenance workers 6740 Rail-track laying and maintenance equipment operators 6750 Septic tank servicers and sewer pipe cleaners 6765 Miscellaneous construction and related workers 6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining 6820 Earth drillers, except oil and gas 6830 Explosives workers, ordnance handling experts, and blasters 6840 Mining machine operators 6910 Roof bolters, mining 6920 Roustabouts, oil and gas 6930 Helpers?xtraction workers 6940 Other extraction workers 7000 First-line supervisors of mechanics, installers, and repairers 7010 Computer, automated teller, and office machine repairers 7020 Radio and telecommunications equipment installers and repairers 7030 Avionics technicians 7040 Electric motor, power tool, and related repairers 7050 Electrical and electronics installers and repairers, transportation 7100 Electrical and electronics repairers, industrial and utility 7110 Electronic equipment installers and repairers, motor vehicles 7120 Electronic home entertainment equipment installers and repairers 7130 Security and fire alarm systems installers 7140 Aircraft mechanics and service technicians 7150 Automotive body and related repairers 7160 Automotive glass installers and repairers 7200 Automotive service technicians and mechanics 7210 Bus and truck mechanics and diesel engine specialists 7220 Heavy vehicle and mobile equipment service technicians and mechanics 7240 Small engine mechanics 7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers 7300 Control and valve installers and repairers 7315 Heating, air conditioning, and refrigeration mechanics and installers 7320 Home appliance repairers 7330 Industrial and refractory machinery mechanics 7340 Maintenance and repair workers, general 7350 Maintenance workers, machinery 7360 Millwrights 7410 Electrical power-line installers and repairers 7420 Telecommunications line installers and repairers 7430 Precision instrument and equipment repairers 7440 Wind turbine service technicians 7510 Coin, vending, and amusement machine servicers and repairers 7520 Commercial divers 7540 Locksmiths and safe repairers 7550 Manufactured building and mobile home installers 7560 Riggers 7600 Signal and track switch repairers 7610 Helpers?nstallation, maintenance, and repair workers 7630 Other installation, maintenance, and repair workers 7700 First-line supervisors of production and operating workers 7710 Aircraft structure, surfaces, rigging, and systems assemblers 7720 Electrical, electronics, and electromechanical assemblers 7730 Engine and other machine assemblers 7740 Structural metal fabricators and fitters 7750 Miscellaneous assemblers and fabricators 7800 Bakers 7810 Butchers and other meat, poultry, and fish processing workers 7830 Food and tobacco roasting, baking, and drying machine operators and tenders 7840 Food batchmakers 7850 Food cooking machine operators and tenders 7855 Food processing workers, all other 7900 Computer control programmers and operators 7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic 7930 Forging machine setters, operators, and tenders, metal and plastic 7940 Rolling machine setters, operators, and tenders, metal and plastic 7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic 8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic 8020 Milling and planing machine setters, operators, and tenders, metal and plastic 8030 Machinists 8040 Metal furnace operators, tenders, pourers, and casters 8060 Model makers and patternmakers, metal and plastic 8100 Molders and molding machine setters, operators, and tenders, metal and plastic 8120 Multiple machine tool setters, operators, and tenders, metal and plastic 8130 Tool and die makers 8140 Welding, soldering, and brazing workers 8150 Heat treating equipment setters, operators, and tenders, metal and plastic 8160 Layout workers, metal and plastic 8200 Plating and coating machine setters, operators, and tenders, metal and plastic 8210 Tool grinders, filers, and sharpeners 8220 Metal workers and plastic workers, all other 8250 Prepress technicians and workers 8255 Printing press operators 8256 Print binding and finishing workers 8300 Laundry and dry-cleaning workers 8310 Pressers, textile, garment, and related materials 8320 Sewing machine operators 8330 Shoe and leather workers and repairers 8340 Shoe machine operators and tenders 8350 Tailors, dressmakers, and sewers 8360 Textile bleaching and dyeing machine operators and tenders 8400 Textile cutting machine setters, operators, and tenders 8410 Textile knitting and weaving machine setters, operators, and tenders 8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders 8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers 8440 Fabric and apparel patternmakers 8450 Upholsterers 8460 Textile, apparel, and furnishings workers, all other 8500 Cabinetmakers and bench carpenters 8510 Furniture finishers 8520 Model makers and patternmakers, wood 8530 Sawing machine setters, operators, and tenders, wood 8540 Woodworking machine setters, operators, and tenders, except sawing 8550 Woodworkers, all other 8600 Power plant operators, distributors, and dispatchers 8610 Stationary engineers and boiler operators 8620 Water and wastewater treatment plant and system operators 8630 Miscellaneous plant and system operators 8640 Chemical processing machine setters, operators, and tenders 8650 Crushing, grinding, polishing, mixing, and blending workers 8710 Cutting workers 8720 Extruding, forming, pressing, and compacting machine setters, 8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders 8740 Inspectors, testers, sorters, samplers, and weighers 8750 Jewelers and precious stone and metal workers 8760 Medical, dental, and ophthalmic laboratory technicians 8800 Packaging and filling machine operators and tenders 8810 Painting workers 8830 Photographic process workers and processing machine operators 8840 Semiconductor processors 8850 Adhesive bonding machine operators and tenders 8860 Cleaning, washing, and metal pickling equipment operators and tenders 8900 Cooling and freezing equipment operators and tenders 8910 Etchers and engravers 8920 Molders, shapers, and casters, except metal and plastic 8930 Paper goods machine setters, operators, and tenders 8940 Tire builders 8950 Helpers?roduction workers 8965 Production workers, all other 9000 Supervisors of transportation and material moving workers 9030 Aircraft pilots and flight engineers 9040 Air traffic controllers and airfield operations specialists 9050 Flight attendants 9110 Ambulance drivers and attendants, except emergency medical technicians 9120 Bus drivers 9130 Driver/sales workers and truck drivers 9140 Taxi drivers and chauffeurs 9150 Motor vehicle operators, all other 9200 Locomotive engineers and operators 9230 Railroad brake, signal, and switch operators 9240 Railroad conductors and yardmasters 9260 Subway, streetcar, and other rail transportation workers 9300 Sailors and marine oilers 9310 Ship and boat captains and operators 9330 Ship engineers 9340 Bridge and lock tenders 9350 Parking lot attendants 9360 Automotive and watercraft service attendants 9410 Transportation inspectors 9415 Transportation attendants, except flight attendants 9420 Other transportation workers 9500 Conveyor operators and tenders 9510 Crane and tower operators 9520 Dredge, excavating, and loading machine operators 9560 Hoist and winch operators 9600 Industrial truck and tractor operators 9610 Cleaners of vehicles and equipment 9620 Laborers and freight, stock, and material movers, hand 9630 Machine feeders and offbearers 9640 Packers and packagers, hand 9650 Pumping station operators 9720 Refuse and recyclable material collectors 9730 Mine shuttle car operators 9740 Tank car, truck, and ship loaders 9750 Material moving workers, all other 9800 Military officer special and tactical operations leaders 9810 First-line enlisted military supervisors 9820 Military enlisted tactical operations and air/weapons specialists and crew members 9830 Military, rank not specified 9997 Uncodeable 9998 DK 9999 NA	1568
SPHEDOCCINDV	Label: Spouse's Father's occ/ind verbatim retrieved Format: F8.0 Measure: Nominal Display Width: 14 Missing Values: -1 Value Label -1 IAP 0 No verbatims for sphed 1 Verbatims for sphed	1569
SPHEDOCCSTATUS	Label: SPHEDOCC10 coding status Format: F8.0 Measure: Nominal Display Width: 16 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned 8 Case not collected in 1994	1570
SPHEDOCCTAG	Label: SPHEDOCC10 coding tag Format: F8.0 Measure: Nominal Display Width: 13 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	1571
SPHEDIND10	Label: Spouse's Father's ind when spouse was 16 (2010) Format: F8.0 Measure: Scale Display Width: 12 Missing Values: 0; 9998; 9999 Value Label 0 IAP 170 Crop production 180 Animal production 190 Forestry, except logging 270 Logging 280 Fishing, hunting, and trapping 290 Support activities for agriculture and forestry 370 Oil and gas extraction 380 Coal mining 390 Metal ore mining 470 Nonmetallic mineral mining and quarrying 480 Not specified type of mining 490 Support activities for mining 570 Electric power generation, transmission, and distribution 580 Natural gas distribution 590 Electric and gas, and other combinations 670 Water, steam, air-conditioning, and irrigation systems 680 Sewage treatment facilities 690 Not specified utilities 770 Construction 1070 Animal food, grain, and oilseed milling 1080 Sugar and confectionery products 1090 Fruit and vegetable preserving and specialty food manufacturing 1170 Dairy product manufacturing 1180 Animal slaughtering and processing 1190 Retail bakeries 1270 Bakeries, except retail 1280 Seafood and other miscellaneous foods, n.e.c. 1290 Not specified food industries 1370 Beverage manufacturing 1390 Tobacco manufacturing 1470 Fiber, yarn, and thread mills 1480 Fabric mills, except knitting mills 1490 Textile and fabric finishing and coating mills 1570 Carpet and rug mills 1590 Textile product mills, except carpet and rug 1670 Knitting fabric mills, and apparel knitting mills 1680 Cut and sew apparel manufacturing 1690 Apparel accessories and other apparel manufacturing 1770 Footwear manufacturing 1790 Leather tanning and finishing and other allied products manufacturing 1870 Pulp, paper, and paperboard mills 1880 Paperboard containers and boxes 1890 Miscellaneous paper and pulp products 1990 Printing and related support activities 2070 Petroleum refining 2090 Miscellaneous petroleum and coal products 2170 Resin, synthetic rubber and fibers, and filaments manufacturing 2180 Agricultural chemical manufacturing 2190 Pharmaceutical and medicine manufacturing 2270 Paint, coating, and adhesive manufacturing 2280 Soap, cleaning compound, and cosmetics manufacturing 2290 Industrial and miscellaneous chemicals 2370 Plastics product manufacturing 2380 Tire manufacturing 2390 Rubber product, except tire, manufacturing 2470 Pottery, ceramics, and plumbing fixture manufacturing 2480 Structural clay product manufacturing 2490 Glass and glass product manufacturing 2570 Cement, concrete, lime, and gypsum product manufacturing 2590 Miscellaneous nonmetallic mineral product manufacturing 2670 Iron and steel mills and steel product manufacturing 2680 Aluminum production and processing 2690 Nonferrous metal (except aluminum) production and processing 2770 Foundries 2780 Metal forgings and stampings 2790 Cutlery and hand tool manufacturing 2870 Structural metals, and boiler, tank, and shipping container manufacturing 2880 Machine shops; turned product; screw, nut, and bolt manufacturing 2890 Coating, engraving, heat treating and allied activities 2970 Ordnance 2980 Miscellaneous fabricated metal products manufacturing 2990 Not specified metal industries 3070 Agricultural implement manufacturing 3080 Construction, and mining and oil and gas field machinery manufacturing 3090 Commercial and service industry machinery manufacturing 3170 Metalworking machinery manufacturing 3180 Engines, turbines, and power transmission equipment manufacturing 3190 Machinery manufacturing, n.e.c. 3290 Not specified machinery manufacturing 3360 Computer and peripheral equipment manufacturing 3370 Communications, and audio and video equipment manufacturing 3380 Navigational, measuring, electromedical, and control instruments manufacturing 3390 Electronic component and product manufacturing, n.e.c. 3470 Household appliance manufacturing 3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c. 3570 Motor vehicles and motor vehicle equipment manufacturing 3580 Aircraft and parts manufacturing 3590 Aerospace product and parts manufacturing 3670 Railroad rolling stock manufacturing 3680 Ship and boat building 3690 Other transportation equipment manufacturing 3770 Sawmills and wood preservation 3780 Veneer, plywood, and engineered wood products 3790 Prefabricated wood buildings and mobile homes 3870 Miscellaneous wood products 3890 Furniture and related product manufacturing 3960 Medical equipment and supplies manufacturing 3970 Sporting and athletic goods, and doll, toy and game manufacturing 3980 Miscellaneous manufacturing, n.e.c. 3990 Not specified manufacturing industries 4070 Motor vehicles, parts and supplies, merchant wholesalers 4080 Furniture and home furnishing, merchant wholesalers 4090 Lumber and other construction materials, merchant wholesalers 4170 Professional and commercial equipment and supplies, merchant wholesalers 4180 Metals and minerals, except petroleum, merchant wholesalers 4190 Electrical and electronic goods, merchant wholesalers 4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers 4270 Machinery, equipment, and supplies, merchant wholesalers 4280 Recyclable material, merchant wholesalers 4290 Miscellaneous durable goods, merchant wholesalers 4370 Paper and paper products, merchant wholesalers 4380 Drugs, sundries, and chemical and allied products, merchant wholesalers 4390 Apparel, fabrics, and notions, merchant wholesalers 4470 Groceries and related products, merchant wholesalers 4480 Farm product raw materials, merchant wholesalers 4490 Petroleum and petroleum products, merchant wholesalers 4560 Alcoholic beverages, merchant wholesalers 4570 Farm supplies, merchant wholesalers 4580 Miscellaneous nondurable goods, merchant wholesalers 4585 Wholesale electronic markets, agents and brokers 4590 Not specified wholesale trade 4670 Automobile dealers 4680 Other motor vehicle dealers 4690 Auto parts, accessories, and tire stores 4770 Furniture and home furnishings stores 4780 Household appliance stores 4790 Radio, TV, and computer stores 4870 Building material and supplies dealers 4880 Hardware stores 4890 Lawn and garden equipment and supplies stores 4970 Grocery stores 4980 Specialty food stores 4990 Beer, wine, and liquor stores 5070 Pharmacies and drug stores 5080 Health and personal care, except drug, stores 5090 Gasoline stations 5170 Clothing stores 5180 Shoe stores 5190 Jewelry, luggage, and leather goods stores 5270 Sporting goods, camera, and hobby and toy stores 5280 Sewing, needlework, and piece goods stores 5290 Music stores 5370 Book stores and news dealers 5380 Department stores and discount stores 5390 Miscellaneous general merchandise stores 5470 Retail florists 5480 Office supplies and stationery stores 5490 Used merchandise stores 5570 Gift, novelty, and souvenir shops 5580 Miscellaneous retail stores 5590 Electronic shopping 5591 Electronic auctions 5592 Mail order houses 5670 Vending machine operators 5680 Fuel dealers 5690 Other direct selling establishments 5790 Not specified retail trade 6070 Air transportation 6080 Rail transportation 6090 Water transportation 6170 Truck transportation 6180 Bus service and urban transit 6190 Taxi and limousine service 6270 Pipeline transportation 6280 Scenic and sightseeing transportation 6290 Services incidental to transportation 6370 Postal Service 6380 Couriers and messengers 6390 Warehousing and storage 6470 Newspaper publishers 6480 Periodical, book, and directory publishers 6490 Software publishers 6570 Motion pictures and video industries 6590 Sound recording industries 6670 Radio and television broadcasting and cable subscription programming 6672 Internet publishing and broadcasting and web search portals 6680 Wired telecommunications carriers 6690 Other telecommunications services 6695 Data processing, hosting, and related services 6770 Libraries and archives 6780 Other information services 6870 Banking and related activities 6880 Savings institutions, including credit unions 6890 Non-depository credit and related activities 6970 Securities, commodities, funds, trusts, and other financial investments 6990 Insurance carriers and related activities 7070 Real estate 7080 Automotive equipment rental and leasing 7170 Video tape and disk rental 7180 Other consumer goods rental 7190 Commercial, industrial, and other intangible assets rental and leasing 7270 Legal services 7280 Accounting, tax preparation, bookkeeping, and payroll services 7290 Architectural, engineering, and related services 7370 Specialized design services 7380 Computer systems design and related services 7390 Management, scientific, and technical consulting services 7460 Scientific research and development services 7470 Advertising and related services 7480 Veterinary services 7490 Other professional, scientific, and technical services 7570 Management of companies and enterprises 7580 Employment services 7590 Business support services 7670 Travel arrangements and reservation services 7680 Investigation and security services 7690 Services to buildings and dwellings 7770 Landscaping services 7780 Other administrative and other support services 7790 Waste management and remediation services 7860 Elementary and secondary schools 7870 Colleges and universities, including junior colleges 7880 Business, technical, and trade schools and training 7890 Other schools and instruction, and educational support services 7970 Offices of physicians 7980 Offices of dentists 7990 Offices of chiropractors 8070 Offices of optometrists 8080 Offices of other health practitioners 8090 Outpatient care centers 8170 Home health care services 8180 Other health care services 8190 Hospitals 8270 Nursing care facilities 8290 Residential care facilities, without nursing 8370 Individual and family services 8380 Community food and housing, and emergency services 8390 Vocational rehabilitation services 8470 Child day care services 8560 Independent artists, performing arts, spectator sports, and related industries 8570 Museums, art galleries, historical sites, and similar institutions 8580 Bowling centers 8590 Other amusement, gambling, and recreation industries 8660 Traveler accommodation 8670 Recreational vehicle parks and camps, and rooming and boarding houses 8680 Restaurants and other food services 8690 Drinking places, alcoholic beverages 8770 Automotive repair and maintenance 8780 Car washes 8790 Electronic and precision equipment repair and maintenance 8870 Commercial and industrial machinery and equipment repair and maintenance 8880 Personal and household goods repair and maintenance 8890 Footwear and leather goods repair 8970 Barber shops 8980 Beauty salons 8990 Nail salons and other personal care services 9070 Drycleaning and laundry services 9080 Funeral homes, and cemeteries and crematories 9090 Other personal services 9160 Religious organizations 9170 Civic, social, advocacy organizations, and grantmaking and giving services 9180 Labor unions 9190 Business, professional, political, and similar organizations 9290 Private households 9370 Executive offices and legislative bodies 9380 Public finance activities 9390 Other general government and support 9470 Justice, public order, and safety activities 9480 Administration of human resource programs 9490 Administration of environmental quality and housing programs 9570 Administration of economic programs and space research 9590 National security and international affairs 9670 U.S. Army 9680 U.S. Air Force 9690 U.S. Navy 9770 U.S. Marine Corps 9780 U.S. Coast Guard 9790 U.S. Armed Forces/n.s. 9870 Active duty military personnel, all other 9997 Uncodeable 9998 DK 9999 NA	1572
SPHEDINDSTATUS	Label: SPHEDIND10 coding status Format: F8.0 Measure: Nominal Display Width: 16 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned 8 Case not collected in 1994	1573
SPHEDINDTAG	Label: SPHEDIND10 coding tag Format: F8.0 Measure: Nominal Display Width: 13 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	1574
SPHEDPRE10	Label: Spouse's Father's occ pres when spouse was 16 (2010) Format: F8.0 Measure: Scale Display Width: 12 Missing Values: 0 Value Label 0 IAP,DK,NA	1575
SPHEDPRE105PLUS	Label: Spouse's Father's occ pres when spouse was 16 using threshold method (2010) Format: F8.0 Measure: Scale Display Width: 17 Missing Values: 0 Value Label 0 IAP,DK,NA	1576
SPSIBS	Label: No of siblings spouse has Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DON'T KNOW 99 NA	1577
KDSEX1	Label: Sex of R 1st child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1578
KDSEX2	Label: Sex of R 2nd child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1579
KDSEX3	Label: Sex of R 3rd child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1580
KDSEX4	Label: Sex of R 4th child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1581
KDSEX5	Label: Sex of R 5th child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1582
KDSEX6	Label: Sex of R 6th child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1583
KDSEX7	Label: Sex of R 7th child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1584
KDSEX8	Label: Sex of R 8th child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1585
KDSEX9	Label: Sex of R 9th child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1586
KDYRBRN1	Label: Birth year of R 1st child Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1587
KDYRBRN2	Label: Birth year of R 2nd child Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1588
KDYRBRN3	Label: Birth year of R 3rd child Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1589
KDYRBRN4	Label: Birth year of R 4th child Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1590
KDYRBRN5	Label: Birth year of R 5th child Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1591
KDYRBRN6	Label: Birth year of R 6th child Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1592
KDYRBRN7	Label: Birth year of R 7th child Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1593
KDYRBRN8	Label: Birth year of R 8th child Format: F4.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1594
KDYRBRN9	Label: Birth year of R 9th child Format: F4.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1595
KDREL1	Label: R relation to R 1st child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BIOLOGICAL 2 ADOPTED 3 STEP 8 DK 9 NA	1596
KDREL2	Label: R relation to R 2nd child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BIOLOGICAL 2 ADOPTED 3 STEP 8 DK 9 NA	1597
KDREL3	Label: R relation to R 3rd child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BIOLOGICAL 2 ADOPTED 3 STEP 8 DK 9 NA	1598
KDREL4	Label: R relation to R 4th child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BIOLOGICAL 2 ADOPTED 3 STEP 8 DK 9 NA	1599
KDREL5	Label: R relation to R 5th child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BIOLOGICAL 2 ADOPTED 3 STEP 8 DK 9 NA	1600
KDREL6	Label: R relation to R 6th child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BIOLOGICAL 2 ADOPTED 3 STEP 8 DK 9 NA	1601
KDREL7	Label: R relation to R 7th child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BIOLOGICAL 2 ADOPTED 3 STEP 8 DK 9 NA	1602
KDREL8	Label: R relation to R 8th child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BIOLOGICAL 2 ADOPTED 3 STEP 8 DK 9 NA	1603
KDREL9	Label: R relation to R 9th child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BIOLOGICAL 2 ADOPTED 3 STEP 8 DK 9 NA	1604
KDALIVE1	Label: R 1st child alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1605
KDALIVE2	Label: R 2nd child alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1606
KDALIVE3	Label: R 3rd child alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1607
KDALIVE4	Label: R 4th child alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1608
KDALIVE5	Label: R 5th child alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1609
KDALIVE6	Label: R 6th child alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1610
KDALIVE7	Label: R 7th child alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1611
KDALIVE8	Label: R 8th child alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1612
KDALIVE9	Label: R 9th child alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1613
KDEDUC1	Label: Highest schl grade of R 1st child Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1614
KDEDUC2	Label: Highest schl grade of R 2nd child Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1615
KDEDUC3	Label: Highest schl grade of R 3rd child Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1616
KDEDUC4	Label: Highest schl grade of R 4th child Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1617
KDEDUC5	Label: Highest schl grade of R 5th child Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1618
KDEDUC6	Label: Highest schl grade of R 6th child Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1619
KDEDUC7	Label: Highest schl grade of R 7th child Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1620
KDEDUC8	Label: Highest schl grade of R 8th child Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1621
KDEDUC9	Label: Highest schl grade of R 9th child Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	1622
KDPICKED	Label: Number of child randomly chosen Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 IAP	1623
KDWORK1	Label: Does R child do paid work? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1624
KDWORK2	Label: Does R child do paid or unpaid work? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1625
KDEVWORK	Label: Did R child work for 1 or more yr? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1626
KDOCC80	Label: R child census occupation code (1980) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 3 Legislators 4 Chief Executives and General Admin., Public Admin 5 Administrators and Officials, Public Administration 6 Administrators, Protective Service 7 Financial Managers 8 Personnel and Labor Relations Managers 9 Purchasing Managers 13 Managers, Marketing, Advertising, and Public Relations 14 Administrators, Education and Related Fields 15 Managers, Medicine and Health 16 Managers, Properties and Real Estate 17 Postmasters and Mail Superintendents 18 Funeral Directors 19 Managers and Administrators, n.e.c. 23 Accountants and Auditors 24 Underwriters 25 Other Financial Officers 26 Management Analysts 27 Personnel, Training, and Labor Relations Specialists 28 Purchasing Agents and Buyers, Farm Products 29 Buyers, Wholesale and Retail Trade Except Farm Products 33 Purchasing Agents and Buyers 34 Business and Promotion Agents 35 Construction Inspectors 36 Inspectors/Compliance Officers, Except Construction 37 Management Related Occupations, n.e.c. 43 Architects 44 Aerospace Engineers 45 Metallurgical and Materials Engineers 46 Mining Engineers 47 Petroleum Engineers 48 Chemical Engineers 49 Nuclear Engineers 53 Civil Engineers 54 Agricultural Engineers 55 Electrical and Electronic Engineers 56 Industrial Engineers 57 Mechanical Engineers 58 Marine and Naval Architects 59 Engineers, n.e.c. 63 Surveyors and Mapping Scientists 64 Computer Systems Analysts and Scientists 65 Operations and Systems Researchers and Analysts 66 Actuaries 67 Statisticians 68 Mathematical Scientists, n.e.c. 69 Physicists and Astronomers 73 Chemists, Except Biochemists 74 Atmospheric and Space Scientists 75 Geologists and Geodesists 76 Physical Scientists, n.e.c. 77 Agricultural and Food Scientists 78 Biological and Life Scientists 79 Forestry and Conservation Scientists 83 Medical Scientists 84 Physicians 85 Dentists 86 Veterinarians 87 Optometrists 88 Podiatrists 89 Health Diagnosing Practitioners, n.e.c. 95 Registered Nurses 96 Pharmacists 97 Dietitians 98 Inhalation Therapists 99 Occupational Therapists 103 Physical Therapists 104 Speech Therapists 105 Therapists, n.e.c. 106 Physicians' Assistants 113 Earth, Environmental, and Marine Science Teachers 114 Biological Science Teachers 115 Chemistry Teachers 116 Physics Teachers 117 Natural Science Teachers, n.e.c. 118 Psychology Teachers 119 Economics Teachers 123 History Teachers 124 Political Science Teachers 125 Sociology Teachers 126 Social Science Teachers, n.e.c. 127 Engineering Teachers 128 Mathematical Science Teachers 129 Computer Science Teachers 133 Medical Science Teachers 134 Health Specialties Teachers 135 Business, Commerce, and Marketing Teachers 136 Agriculture and Forestry Teachers 137 Art, Drama, and Music Teachers 138 Physical Education Teachers 139 Education Teachers 143 English Teachers 144 Foreign Language Teachers 145 Law Teachers 146 Social Work Teachers 147 Theology Teachers 148 Trade and Industrial Teachers 149 Home Economics Teachers 153 Teachers, Postsecondary, n.e.c. 154 Postsecondary Teachers, Subject Not Specified 155 Teachers, Prekindergarten and Kindergarten 156 Teachers, Elementary School 157 Teachers, Secondary School 158 Teachers, Special Education 159 Teachers, n.e.c. 163 Counselors, Educational and Vocational 164 Librarians 165 Archivists and Curators 166 Economists 167 Psychologists 168 Sociologists 169 Social Scientists, n.e.c. 173 Urban Planners 174 Social Workers 175 Recreation Workers 176 Clergy 177 Religious Workers, n.e.c. 178 Lawyers 179 Judges 183 Authors 184 Technical Writers 185 Designers 186 Musicians and Composers 187 Actors and Directors 188 Painters, Sculptors, Craft-Artists, and Printmakers 189 Photographers 193 Dancers 194 Artists, Performers, and Related Workers, n.e.c. 195 Editors and Reporters 197 Public Relations Specialists 198 Announcers 199 Athletes 203 Clinical Laboratory Technologists and Technicians 204 Dental Hygienists 205 Health Record Technologists and Technicians 206 Radiologic Technicians 207 Licensed Practical Nurses 208 Health Technologists and Technicians, n.e.c. 213 Electrical and Electronic Technicians 214 Industrial Engineering Technicians 215 Mechanical Engineering Technicians 216 Engineering Technicians, n.e.c. 217 Drafting Occupations 218 Surveying and Mapping Technicians 223 Biological Technicians 224 Chemical Technicians 225 Science Technicians, n.e.c. 226 Airplane Pilots and Navigators 227 Air Traffic Controllers 228 Broadcast Equipment Operators 229 Computer Programmers 233 Tool Programmers, Numerical Control 234 Legal Assistants 235 Technicians, n.e.c. 243 Supervisors and Proprietors, Sales Occupations 253 Insurance Sales Occupations 254 Real Estate Sales Occupations 255 Securities and Financial Services Sales Occupations 256 Advertising and Related Sales Occupations 257 Sales Occupations, Other Business Services 258 Sales Engineers 259 Sales Rep., Mining, Manufacturing, and Wholesale 263 Sales Workers, Motor Vehicles and Boats 264 Sales Workers, Apparel 265 Sales Workers, Shoes 266 Sales Workers, Furniture and Home Furnishings 267 Sales Workers, Radio, TV, Hi-Fi, and Appliances 268 Sales Workers, Hardware and Building Supplies 269 Sales Workers, Parts 274 Sales Workers, Other Commodities 275 Sales Counter Clerks 276 Cashiers 277 Street and Door-To-Door Sales Workers 278 News Vendors 283 Demonstrators, Promoters and Models, Sales 284 Auctioneers 285 Sales Support Occupations, n.e.c. 303 Supervisors, General Office 304 Supervisors, Computer Equipment Operators 305 Supervisors, Financial Records Processing 306 Chief Communications Operators 307 Supervisors, Distribution, Scheduling, and Adjusting Clerks 308 Computer Operators 309 Peripheral Equipment Operators 313 Secretaries 314 Stenographers 315 Typists 316 Interviewers 317 Hotel Clerks 318 Transportation Ticket and Reservation Agents 319 Receptionists 323 Information Clerks, n.e.c. 325 Classified-Ad Clerks 326 Correspondence Clerks 327 Order Clerks 328 Personnel Clerks, Except Payroll and Timekeeping 329 Library Clerks 335 File Clerks 336 Records Clerks 337 Bookkeepers, Accounting and Auditing Clerks 338 Payroll and Timekeeping Clerks 339 Billing Clerks 343 Cost and Rate Clerks 344 Billing, Posting, and Calculating Machine Operators 345 Duplicating Machine Operators 346 Mail Preparing and Paper Handling Machine Operators 347 Office Machine Operators, n.e.c. 348 Telephone Operators 349 Telegraphers 353 Communications Equipment Operators, n.e.c. 354 Postal Clerks, Excluding Mail Carriers 355 Mail Carriers, Postal Service 356 Mail Clerks, Excluding Postal Service 357 Messengers 359 Dispatchers 363 Production Coordinators 364 Traffic, Shipping and Receiving Clerks 365 Stock and Inventory Clerks 366 Meter Readers 368 Weighers, Measurers, and Checkers 369 Samplers 373 Expediters 374 Material Recording, Scheduling and Distributing Clerks, n.e.c. 375 Insurance Adjusters, Examiners, and Investigators 376 Investigators and Adjusters, Except Insurance 377 Eligibility Clerks, Social Welfare 378 Bill and Account Collectors 379 General Office Clerks 383 Bank Tellers 384 Proofreaders 385 Data-Entry Keyers 386 Statistical Clerks 387 Teachers' Aides 389 Administrative Support Occupations, n.e.c. 403 Launderers and Ironers 404 Cooks, Private Household 405 Housekeepers and Butlers 406 Child Care Workers, Private Household 407 Private Household Cleaners and Servants 413 Supervisors, Firefighting and Fire Prevention Occupations 414 Supervisors, Police and Detectives 415 Supervisors, Guards 416 Fire Inspection and Fire Prevention Occupations 417 Firefighting Occupations 418 Police and Detectives, Public Service 423 Sheriffs, Bailiffs, and Other Law Enforcement Officers 424 Correctional Institution Officers 425 Crossing Guards 426 Guards and Police, Excluding Public Service 427 Protective Service Occupations 430 Former Member of the Armed Forces 431 Current Member of the Armed Forces 433 Supervisors, Food Preparation and Service Occupations 434 Bartenders 435 Waiters and Waitresses 436 Cooks, Except Short Order 437 Short-Order Cooks 438 Food Counter, Fountain and Related Occupations 439 Kitchen Workers, Food Preparation 443 Waiters'/Waitresses' Assistants 444 Miscellaneous Food Preparation Occupations 445 Dental Assistants 446 Health Aids, Except Nursing 447 Nursing Aides, Orderlies and Attendants 448 Supervisors, Cleaning and Building Service Workers 449 Maids and Housemen 453 Janitors and Cleaners 454 Elevator Operators 455 Pest Control Occupations 456 Supervisors, Personal Service Occupations 457 Barbers 458 Hairdressers and Cosmetologists 459 Attendants, Amusement and Recreation Facilities 463 Guides 464 Ushers 465 Public Transportation Attendants 466 Baggage Porters and Bellhops 467 Welfare Service Aides 468 Child Care Workers, Except Private Household 469 Personal Service Occupations, n.e.c. 473 Farmers, Except Horticultural 474 Horticultural Specialty Farmers 475 Managers, Farms, Except Horticultural 476 Managers, Horticultural Specialty Farms 477 Supervisors, Farm Workers 479 Farm Workers 483 Marine Life Cultivation Workers 484 Nursery Workers 485 Supervisors, Related Agricultural Occupations 486 Groundskeepers and Gardeners, Except Farm 487 Animal Caretakers, Except Farm 488 Graders and Sorters, Agricultural Products 489 Inspectors, Agricultural Products 494 Supervisors, Forestry and Logging Workers 495 Forestry Workers, Except Logging 496 Timber Cutting and Logging Occupations 497 Captains and Other Officers, Fishing Vessels 498 Fishers 499 Hunters and Trappers 503 Supervisors, Mechanics and Repairers 505 Automobile Mechanics, Except Apprentices 506 Automobile Mechanic Apprentices 507 Bus, Truck, and Stationary Engine Mechanics 508 Aircraft Engine Mechanics 509 Small Engine Repairers 514 Automobile Body and Related Repairers 515 Aircraft Mechanics, Excluding Engine 516 Heavy Equipment Mechanics 517 Farm Equipment Mechanics 518 Industrial Machinery Repairers 519 Machinery Maintenance Occupations 523 Electronic Repairers, Communications and Industrial Equipment 525 Data Processing Equipment Repairers 526 Household Appliance and Power Tool Repairers 527 Telephone Line Installers and Repairers 529 Telephone Installers and Repairers 533 Misc. Electrical and Electronic Equipment Repairers 534 Heating, Air Conditioning, and Refrigeration Mechanics 535 Camera, Watch, and Musical Instrument Repairers 536 Locksmiths and Safe Repairers 538 Office Machine Repairers 539 Mechanical Controls and Valve Repairers 543 Elevator Installers and Repairers 544 Millwrights 547 Specified Mechanics and Repairers, n.e.c. 549 Not Specified Mechanics and Repairers 553 Supervisors, Brickmasons, Stonemasons, and Title Setters 554 Supervisors, Carpenters and Related Work 555 Supervisors, Electricians and Power Transmission Installers 556 Supervisors, Painters, Paperhangers, and Plasterers 557 Supervisors, Plumbers, Pipefitters, and Steamfitters 558 Supervisors, n.e.c. 563 Brickmasons and Stonemasons, Except Apprentices 564 Brickmasons and Stonemasons Apprentices 565 Tile Setters, Hard and Soft 566 Carpet Installers 567 Carpenters, Except Apprentices 569 Carpenter Apprentices 573 Drywall Installers 575 Electricians, Except Apprentices 576 Electrician Apprentices 577 Electrical Power Installers and Repairers 579 Painters, Construction and Maintenance 583 Paperhangers 584 Plasterers 585 Plumbers, Pipefitters, and Steamfitters, Except Apprentices 587 Plumber, Pipefitter, and Steamfitter Apprentices 588 Concrete and Terrazzo Finishers 589 Glaziers 593 Insulation Workers 594 Paving, Surfacing, and Tamping Equipment Operators 595 Roofers 596 Sheetmetal Duct Installers 597 Structural Metal Workers 598 Drillers, Earth 599 Construction Trades, n.e.c. 613 Supervisors, Extractive Occupations 614 Drillers, Oil Well 615 Explosives Workers 616 Mining Machine Operators 617 Mining Occupations, n.e.c. 633 Supervisors, Production Occupations 634 Tool and Die Makers, Except Apprentices 635 Tool and Die Maker Apprentices 636 Precision Assemblers, Metal 637 Machinists, Except Apprentices 639 Machinist Apprentices 643 Boilermakers 644 Precision Grinders, Fitters, and Tool Sharpeners 645 Patternmakers and Model Makers, Metal 646 Lay-Out Workers 647 Precious Stones and Metals Workers 649 Engravers, Metal 653 Sheet Metal Workers, Except Apprentices 654 Sheet Metal Worker, Apprentices 655 Miscellaneous Precision Metal Workers 656 Patternmakers and Model Makers, Wood 657 Cabinet Makers and Bench Carpenters 658 Furniture and Wood Finishers 659 Miscellaneous Precision Woodworkers 666 Dressmakers 667 Tailors 668 Upholsterers 669 Shoe Repairers 673 Apparel and Fabric Patternmakers 674 Miscellaneous Precision Apparel and Fabric Workers 675 Hand Molders and Shapers, Except Jewelers 676 Patternmakers, Lay-Out Workers, and Cutters 677 Optical Goods Workers 678 Dental Laboratory and Medical Appliance Technicians 679 Bookbinders 683 Electrical and Electronic Equipment Assemblers 684 Miscellaneous Precision Workers, n.e.c. 686 Butchers and Meat Cutters 687 Bakers 688 Food Batchmakers 689 Inspectors, Testers, and Graders 693 Adjusters and Calibrators 694 Water and Sewage Treatment Plant Operators 695 Power Plant Operators 696 Stationary Engineers 699 Miscellaneous Plant and System Operators 703 Lathe and Turning Machine Set-Up Operators 704 Lathe and Turning Machine Operators 705 Milling and Planing Machine Operators 706 Punching and Stamping Press Machine Operators 707 Rolling Machine Operators 708 Drilling and Boring Machine Operators 709 Grinding, Abrading, Buffing, and Polishing Machine Operators 713 Forging Machine Operators 715 Miscellaneous Metal, Plastic, Stone, and Glass Working Machine Operators 717 Fabricating Machine Operators, n.e.c. 719 Molding and Casting Machine Operators 723 Metal Plating Machine Operators 724 Heat Treating Equipment Operators 725 Miscellaneous Metal and Plastic Processing Machine Operators 726 Wood Lathe, Routing and Planing Machine Operators 727 Sawing Machine Operators 728 Shaping and Joining Machine Operators 729 Nailing and Tacking Machine Operators 733 Miscellaneous Woodworking Machine Operators 734 Printing Machine Operators 735 Photoengravers and Lithographers 736 Typesetters and Compositors 737 Miscellaneous Printing Machine Operators 738 Winding and Twisting Machine Operators 739 Knitting, Looping, Taping, and Weaving Machine Operators 743 Textile Cutting Machine Operators 744 Textile Sewing Machine Operators 745 Shoe Machine Operators 747 Pressing Machine Operators 748 Laundering and Dry Cleaning Machine Operators 749 Miscellaneous Textile Machine Operators 753 Cementing and Gluing Machine Operators 754 Packaging and Filling Machine Operators 755 Extruding and Forming Machine Operators 756 Mixing and Blending Machine Operators 757 Separating, Filtering, and Clarifying Machine Operators 758 Compressing and Compacting Machine Operators 759 Painting and Paint Spraying Machine Operators 763 Roasting and Baking Machine Operators, Food 764 Washing, Cleaning, and Pickling Machine Operators 765 Folding Machine Operators 766 Furnace, Kiln, and Oven Operators, Except Food 768 Crushing and Grinding Machine Operators 769 Slicing and Cutting Machine Operators 773 Motion Picture Projectionists 774 Photographic Process Machine Operators 777 Miscellaneous and Not Specified Machine Operators, n.e.c. 779 Machine Operators, Not Specified 783 Welders and Cutters 784 Solderers and Blazers 785 Assemblers 786 Hand Cutting and Trimming Occupations 787 Hand Molding, Casting, and Forming Occupations 789 Hand Painting,Coating, and Decorating Occupations 793 Hand Engraving and Printing Occupations 794 Hand Grinding and Polishing Occupations 795 Miscellaneous Hand Working Occupations 796 Production Inspectors, Checkers, and Examiners 797 Production Testers 798 Production Samplers and Weighers 799 Graders and Sorters, Except Agricultural 803 Supervisors, Motor Vehicle Operators 804 Truck Drivers, Heavy 805 Truck Drivers, Light 806 Driver-Sales Workers 808 Bus Drivers 809 Taxicab Drivers and Chauffeurs 813 Parking Lot Attendants 814 Motor Transportation Occupations, n.e.c. 823 Railroad Conductors and Yardmasters 824 Locomotive Operating Occupations 825 Railroad Brake, Signal, and Switch Operators 826 Rail Vehicle Operators, n.e.c. 828 Ship Captains and Mates, Except Fishing Boats 829 Sailors and Deckhands 833 Marine Engineers 834 Bridge, Lock and Lighthouse Tenders 843 Supervisors, Material Moving Equipment Operators 844 Operating Engineers 845 Longshore Equipment Operators 848 Hoist and Winch Operators 849 Crane and Tower Operators 853 Excavating and Loading Machine Operators 855 Grader, Dozer, and Scraper Operators 856 Industrial Truck and Tractor Equipment Operators 859 Miscellaneous Material Moving Equipment Operators 863 Handlers, Equipment Cleaners, Helpers, and Laborers, n.e.c. 864 Helpers, Mechanics and Repairers 865 Helpers, Construction Trades 866 Helpers, Surveyor 867 Helpers, Extractive Occupations 869 Construction Laborers 873 Production Helpers 875 Garbage Collectors 876 Stevedores 877 Stock Handlers and Baggers 878 Machine Feeders and Offbearers 883 Freight, Stock, and Material Handlers, n.e.c. 885 Garage and Service Station Related Occupations 887 Vehicle Washers and Equipment Cleaners 888 Hand Packers and Packagers 889 Laborers, Except Construction 998 DK 999 NA	1627
KDPRES80	Label: R child occupational prestige score (1980) Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	1628
KDWRKSLF	Label: R child self-employed? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF EMPLOYED 2 SOMEONE ELSE 8 DK 9 NA	1629
KDIND80	Label: R child industry code (1980) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 10 Agricultural production, crops 11 Agricultural production, livestock 20 Agricultural services, except horticultural 21 Horticultural services 30 Forestry 31 Fishing, hunting, and trapping, etc. 40 Metal mining 41 Coal mining 42 Crude petroleum and natural gas extraction 50 Nonmetallic mining and quarrying, except fuel 60 CONSTRUCTION 100 Meat products 101 Dairy products 102 Canned and preserved fruits and vegetables 110 Grain mill products 111 Bakery products 112 Sugar and confectionery products 120 Beverage industries 121 Miscellaneous food preparations and kindred products 122 Not specified food industries 130 Tobacco manufactures 132 Knitting mills 140 Dyeing and finishing textiles, except wool and knit goods 141 Floor coverings, except hard surface 142 Yarn, thread, and fabric mills 150 Miscellaneous textile mill products 151 Apparel and accessories, except knit 152 Miscellaneous fabricated textile products 160 Pulp, paper, and paperboard mills 161 Miscellaneous paper and pulp products 162 Paperboard containers and boxes 171 Newspaper publishing and printing 172 Printing, publishing, and allied industries, except newspapers 180 Plastics, synthetics, and resins 181 Drugs 182 Soaps and cosmetics 185 Paints, varnishes, and related products 190 Agricultural chemicals 191 Industrial and miscellaneous chemicals 192 Petroleum and coal products 200 Petroleum refining 201 Miscellaneous petroleum and coal products 210 Tires and inner tubes 211 Other rubber products, and plastics footwear and belting 212 Miscellaneous plastics products 220 Leather tanning and finishing 221 Footwear, except rubber and plastic 222 Leather products, except footwear 230 Logging 231 Sawmills, planning mills, and millwork 232 Wood buildings and mobile homes 241 Miscellaneous wood products 242 Furniture and fixtures 250 Glass and glass products 251 Cement, concrete, gypsum, and plaster products 252 Structural clay products 261 Pottery and related products 262 Miscellaneous nonmetallic mineral and stone products 270 Blast furnaces, steelworks, rolling and finishing mills 271 Iron and steel foundries 272 Primary aluminum industries 280 Other primary metal industries 281 Cutlery, hand tools, and other hardware 282 Fabricated structural metal products 290 Screw machine products 291 Metal forgings and stampings 292 Ordnance 300 Miscellaneous fabricated metal products 301 Not specified metal industries 310 Engines and turbines 311 Farm machinery and equipment 312 Construction and material handling machines 320 Metalworking machinery 321 Office and accounting machines 322 Electronic computing equipment 331 Machinery, except electrical, n.e.c. 332 Not specified machinery 340 Household appliances 341 Radio, TV, and communication equipment 342 Electrical machinery, equipment, and supplies, n.e.c. 350 Not specified electrical machinery, equipment, and supplies 351 Motor vehicles and motor vehicle equipment 352 Aircraft and parts 360 Ship and boat building and repairing 361 Railroad locomotives and equipment 362 Guided missiles, space vehicles, and parts 370 Cycles and miscellaneous transportation equipment 371 Scientific and controlling instruments 372 Optical and health services supplies 380 Photographic equipment and supplies 381 Watches, clocks, and clockwork operated devices 382 Not specified professional equipment 390 Toys, amusement, and sporting goods 391 Miscellaneous manufacturing industries 392 Not specified manufacturing industries 400 Railroads 401 Bus service and urban transit 402 Taxicab service 410 Trucking service 411 Warehousing and storage 412 U.S. Postal Service 420 Water transportation 421 Air transportation 422 Pipe lines, except natural gas 432 Services incidental to transportation 440 Radio and television broadcasting 441 Telephone (wire and radio) 442 Telegraph and miscellaneous communication service 460 Electric light and power 461 Gas and steam supply systems 462 Electric and gas, and other combinations 470 Water supply and irrigation 471 Sanitary services 472 Not specified utilities 500 Motor vehicles and equipment 501 Furniture and home furnishings 502 Lumber and construction materials 510 Sporting goods, toys, and hobby goods 511 Metals and minerals, except petroleum 512 Electrical goods 521 Hardware, plumbing and heating supplies 522 Not specified electrical and hardware products 530 Machinery, equipment, and supplies 531 Scrap and waste materials 532 Miscellaneous wholesale, durable goods 540 Paper and paper products 541 Drugs, chemicals, and allied products 542 Apparel, fabrics, and notions 550 Groceries and related products 551 Farm products-raw materials 552 Petroleum products 560 Alcoholic beverages 561 Farm supplies 562 Miscellaneous wholesale, nondurable goods 571 Not specified wholesale trade 580 Lumber and building material retailing 581 Hardware stores 582 Retail nurseries and garden stores 590 Mobile home dealers 591 Department stores 592 Variety stores 600 Miscellaneous general merchandise stores 601 Grocery stores 602 Dairy products stores 610 Retail bakeries 611 Food stores, n.e.c. 612 Motor vehicle dealers 620 Auto and home supply stores 621 Gasoline service stations 622 Miscellaneous vehicle dealers 630 Apparel and accessory stores, except shoe 631 Shoe stores 632 Furniture and home furnishings stores 640 Household appliances, TV, and radio stores 641 Eating and drinking places 642 Drug stores 650 Liquor stores 651 Sporting goods, bicycles, and hobby stores 652 Book and stationery stores 660 Jewelry stores 661 Sewing, needlework, and piece goods stores 662 Mail order houses 670 Vending machine operators 671 Direct selling establishments 672 Fuel and ice dealers 681 Retail florists 682 Miscellaneous retail stores 691 Not specified retail trade 700 Banking 701 Savings and loan associations 702 Credit agencies, n.e.c. 710 Security, commodity brokerage, and investment companies 711 Insurance 712 Real estate, including real estate-insurance-law offices 721 Advertising 722 Services to dwellings and other buildings 730 Commercial research, development, and testing labs 731 Personnel supply services 732 Business management and consulting services 740 Computer and data processing services 741 Detective and protective services 742 Business services, n.e.c. 750 Automotive services, except repair 751 Automotive repair shops 752 Electrical repair shops 760 Miscellaneous repair services 761 Private households 762 Hotels and motels 770 Lodging places, except hotels and motels 771 Laundry, cleaning, and garment services 772 Beauty shops 780 Barber shops 781 Funeral service and crematories 782 Shoe repair shops 790 Dressmaking shops 791 Miscellaneous personal services 800 Theaters and motion pictures 801 Bowling alleys, billiard and pool parlors 802 Miscellaneous entertainment and recreation services 812 Offices of physicians 820 Offices of dentists 821 Offices of chiropractors 822 Offices of optometrists 830 Offices of health practitioners, n.e.c. 831 Hospitals 832 Nursing and personal care facilities 840 Health services, n.e.c. 841 Legal services 842 Elementary and secondary schools 850 Colleges and universities 851 Business, trade, and vocational schools 852 Libraries 860 Educational services, n.e.c. 861 Job training and vocational rehabilitation services 862 Child day care services 870 Residential care facilities, without nursing 871 Social services, n.e.c. 872 Museums, art galleries and zoos 880 Religious organizations 881 Membership organizations 882 Engineering, architectural, and surveying services 890 Accounting, auditing, and bookkeeping services 891 Noncommercial educational and scientific research 892 Miscellaneous professional and related services 900 Executive and legislative offices 901 General government, n.e.c. 910 Justice, public order, and safety 921 Public finance, taxation, and monetary policy 922 Administration of human resources programs 930 Administration of environmental quality and household programs 931 Administration of economic programs 932 National security and international affairs 998 DK 999 NA	1630
KDOCC10	Label: R child census occupation code (2010) Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0; 9998; 9999 Value Label 0 IAP 10 Chief executives 20 General and operations managers 30 Legislators 40 Advertising and promotions managers 50 Marketing and sales managers 60 Public relations and fundraising managers 100 Administrative services managers 110 Computer and information systems managers 120 Financial managers 135 Compensation and benefits managers 136 Human resources managers 137 Training and development managers 140 Industrial production managers 150 Purchasing managers 160 Transportation, storage, and distribution managers 205 Farmers, ranchers, and other agricultural managers 220 Construction managers 230 Education administrators 300 Architectural and engineering managers 310 Food service managers 325 Funeral service managers 330 Gaming managers 340 Lodging managers 350 Medical and health services managers 360 Natural sciences managers 400 Postmasters and mail superintendents 410 Property, real estate, and community association managers 420 Social and community service managers 425 Emergency management directors 430 Managers, all other 500 Agents and business managers of artists, performers, 510 Buyers and purchasing agents, farm products 520 Wholesale and retail buyers, except farm products 530 Purchasing agents, except wholesale, retail, and farm products 540 Claims adjusters, appraisers, examiners, and investigators 565 Compliance officers 600 Cost estimators 630 Human resources workers 640 Compensation, benefits, and job analysis specialists 650 Training and development specialists 700 Logisticians 710 Management analysts 725 Meeting, convention, and event planners 726 Fundraisers 735 Market research analysts and marketing specialists 740 Business operations specialists, all other 800 Accountants and auditors 810 Appraisers and assessors of real estate 820 Budget analysts 830 Credit analysts 840 Financial analysts 850 Personal financial advisors 860 Insurance underwriters 900 Financial examiners 910 Credit counselors and loan officers 930 Tax examiners and collectors, and revenue agents 940 Tax preparers 950 Financial specialists, all other 1005 Computer and information research scientists 1006 Computer systems analysts 1007 Information security analysts 1010 Computer programmers 1020 Software developers, applications and systems software 1030 Web developers 1050 Computer support specialists 1060 Database administrators 1105 Network and computer systems administrators 1106 Computer network architects 1107 Computer occupations, all other 1200 Actuaries 1210 Mathematicians 1220 Operations research analysts 1230 Statisticians 1240 Miscellaneous mathematical science occupations 1300 Architects, except naval 1310 Surveyors, cartographers, and photogrammetrists 1320 Aerospace engineers 1330 Agricultural engineers 1340 Biomedical engineers 1350 Chemical engineers 1360 Civil engineers 1400 Computer hardware engineers 1410 Electrical and electronics engineers 1420 Environmental engineers 1430 Industrial engineers, including health and safety 1440 Marine engineers and naval architects 1450 Materials engineers 1460 Mechanical engineers 1500 Mining and geological engineers, including mining safety engineers 1510 Nuclear engineers 1520 Petroleum engineers 1530 Engineers, all other 1540 Drafters 1550 Engineering technicians, except drafters 1560 Surveying and mapping technicians 1600 Agricultural and food scientists 1610 Biological scientists 1640 Conservation scientists and foresters 1650 Medical scientists 1660 Life scientists, all other 1700 Astronomers and physicists 1710 Atmospheric and space scientists 1720 Chemists and materials scientists 1740 Environmental scientists and geoscientists 1760 Physical scientists, all other 1800 Economists 1815 Survey researchers 1820 Psychologists 1830 Sociologists 1840 Urban and regional planners 1860 Miscellaneous social scientists and related workers 1900 Agricultural and food science technicians 1910 Biological technicians 1920 Chemical technicians 1930 Geological and petroleum technicians 1940 Nuclear technicians 1950 Social science research assistants 1965 Miscellaneous life, physical, and social science technicians 2000 Counselors 2010 Social workers 2015 Probation officers and correctional treatment specialists 2016 Social and human service assistants 2025 Miscellaneous community and social service specialists, 2040 Clergy 2050 Directors, religious activities and education 2060 Religious workers, all other 2100 Lawyers 2105 Judicial law clerks 2110 Judges, magistrates, and other judicial workers 2145 Paralegals and legal assistants 2160 Miscellaneous legal support workers 2200 Postsecondary teachers 2300 Preschool and kindergarten teachers 2310 Elementary and middle school teachers 2320 Secondary school teachers 2330 Special education teachers 2340 Other teachers and instructors 2400 Archivists, curators, and museum technicians 2430 Librarians 2440 Library technicians 2540 Teacher assistants 2550 Other education, training, and library workers 2600 Artists and related workers 2630 Designers 2700 Actors 2710 Producers and directors 2720 Athletes, coaches, umpires, and related workers 2740 Dancers and choreographers 2750 Musicians, singers, and related workers 2760 Entertainers and performers, sports and related workers, all other 2800 Announcers 2810 News analysts, reporters and correspondents 2825 Public relations specialists 2830 Editors 2840 Technical writers 2850 Writers and authors 2860 Miscellaneous media and communication workers 2900 Broadcast and sound engineering technicians and radio 2910 Photographers 2920 Television, video, and motion picture camera operators and 2960 Media and communication equipment workers, all other 3000 Chiropractors 3010 Dentists 3030 Dietitians and nutritionists 3040 Optometrists 3050 Pharmacists 3060 Physicians and surgeons 3110 Physician assistants 3120 Podiatrists 3140 Audiologists 3150 Occupational therapists 3160 Physical therapists 3200 Radiation therapists 3210 Recreational therapists 3220 Respiratory therapists 3230 Speech-language pathologists 3235 Exercise physiologists 3245 Therapists, all other 3250 Veterinarians 3255 Registered nurses 3256 Nurse anesthetists 3257 Nurse midwives 3258 Nurse practitioners 3260 Health diagnosing and treating practitioners, all other 3300 Clinical laboratory technologists and technicians 3310 Dental hygienists 3320 Diagnostic related technologists and technicians 3400 Emergency medical technicians and paramedics 3420 Health practitioner support technologists and technicians 3500 Licensed practical and licensed vocational nurses 3510 Medical records and health information technicians 3520 Opticians, dispensing 3535 Miscellaneous health technologists and technicians 3540 Other healthcare practitioners and technical occupations 3600 Nursing, psychiatric, and home health aides 3610 Occupational therapy assistants and aides 3620 Physical therapist assistants and aides 3630 Massage therapists 3640 Dental assistants 3645 Medical assistants 3646 Medical transcriptionists 3647 Pharmacy aides 3648 Veterinary assistants and laboratory animal caretakers 3649 Phlebotomists 3655 Miscellaneous healthcare support occupations, including medical equipment preparers 3700 First-line supervisors of correctional officers 3710 First-line supervisors of police and detectives 3720 First-line supervisors of fire fighting and prevention workers 3730 First-line supervisors of protective service workers, all other 3740 Firefighters 3750 Fire inspectors 3800 Bailiffs, correctional officers, and jailers 3820 Detectives and criminal investigators 3830 Fish and game wardens 3840 Parking enforcement workers 3850 Police and sheriff's patrol officers 3860 Transit and railroad police 3900 Animal control workers 3910 Private detectives and investigators 3930 Security guards and gaming surveillance officers 3940 Crossing guards 3945 Transportation security screeners 3955 Lifeguards and other recreational, and all other protective service workers 4000 Chefs and head cooks 4010 First-line supervisors of food preparation and serving workers 4020 Cooks 4030 Food preparation workers 4040 Bartenders 4050 Combined food preparation and serving workers, including fast food 4060 Counter attendants, cafeteria, food concession, and coffee shop 4110 Waiters and waitresses 4120 Food servers, nonrestaurant 4130 Dining room and cafeteria attendants and bartender helpers 4140 Dishwashers 4150 Hosts and hostesses, restaurant, lounge, and coffee shop 4160 Food preparation and serving related workers, all other 4200 First-line supervisors of housekeeping and janitorial workers 4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers 4220 Janitors and building cleaners 4230 Maids and housekeeping cleaners 4240 Pest control workers 4250 Grounds maintenance workers 4300 First-line supervisors of gaming workers 4320 First-line supervisors of personal service workers 4340 Animal trainers 4350 Nonfarm animal caretakers 4400 Gaming services workers 4410 Motion picture projectionists 4420 Ushers, lobby attendants, and ticket takers 4430 Miscellaneous entertainment attendants and related workers 4460 Embalmers and funeral attendants 4465 Morticians, undertakers, and funeral directors 4500 Barbers 4510 Hairdressers, hairstylists, and cosmetologists 4520 Miscellaneous personal appearance workers 4530 Baggage porters, bellhops, and concierges 4540 Tour and travel guides 4600 Childcare workers 4610 Personal care aides 4620 Recreation and fitness workers 4640 Residential advisors 4650 Personal care and service workers, all other 4700 First-line supervisors of retail sales workers 4710 First-line supervisors of non-retail sales workers 4720 Cashiers 4740 Counter and rental clerks 4750 Parts salespersons 4760 Retail salespersons 4800 Advertising sales agents 4810 Insurance sales agents 4820 Securities, commodities, and financial services sales agents 4830 Travel agents 4840 Sales representatives, services, all other 4850 Sales representatives, wholesale and manufacturing 4900 Models, demonstrators, and product promoters 4920 Real estate brokers and sales agents 4930 Sales engineers 4940 Telemarketers 4950 Door-to-door sales workers, news and street vendors, and related workers 4965 Sales and related workers, all other 5000 First-line supervisors of office and administrative support workers 5010 Switchboard operators, including answering service 5020 Telephone operators 5030 Communications equipment operators, all other 5100 Bill and account collectors 5110 Billing and posting clerks 5120 Bookkeeping, accounting, and auditing clerks 5130 Gaming cage workers 5140 Payroll and timekeeping clerks 5150 Procurement clerks 5160 Tellers 5165 Financial clerks, all other 5200 Brokerage clerks 5210 Correspondence clerks 5220 Court, municipal, and license clerks 5230 Credit authorizers, checkers, and clerks 5240 Customer service representatives 5250 Eligibility interviewers, government programs 5260 File Clerks 5300 Hotel, motel, and resort desk clerks 5310 Interviewers, except eligibility and loan 5320 Library assistants, clerical 5330 Loan interviewers and clerks 5340 New accounts clerks 5350 Order clerks 5360 Human resources assistants, except payroll and timekeeping 5400 Receptionists and information clerks 5410 Reservation and transportation ticket agents and travel clerks 5420 Information and record clerks, all other 5500 Cargo and freight agents 5510 Couriers and messengers 5520 Dispatchers 5530 Meter readers, utilities 5540 Postal service clerks 5550 Postal service mail carriers 5560 Postal service mail sorters, processors, and processing machine operators 5600 Production, planning, and expediting clerks 5610 Shipping, receiving, and traffic clerks 5620 Stock clerks and order fillers 5630 Weighers, measurers, checkers, and samplers, recordkeeping 5700 Secretaries and administrative assistants 5800 Computer operators 5810 Data entry keyers 5820 Word processors and typists 5830 Desktop publishers 5840 Insurance claims and policy processing clerks 5850 Mail clerks and mail machine operators, except postal service 5860 Office clerks, general 5900 Office machine operators, except computer 5910 Proofreaders and copy markers 5920 Statistical assistants 5940 Office and administrative support workers, all other 6005 First-line supervisors of farming, fishing, and forestry workers 6010 Agricultural inspectors 6020 Animal breeders 6040 Graders and sorters, agricultural products 6050 Miscellaneous agricultural workers 6100 Fishers and related fishing workers 6110 Hunters and trappers 6120 Forest and conservation workers 6130 Logging workers 6200 First-line supervisors of construction trades and extraction workers 6210 Boilermakers 6220 Brickmasons, blockmasons, and stonemasons 6230 Carpenters 6240 Carpet, floor, and tile installers and finishers 6250 Cement masons, concrete finishers, and terrazzo workers 6260 Construction laborers 6300 Paving, surfacing, and tamping equipment operators 6310 Pile-driver operators 6320 Operating engineers and other construction equipment operators 6330 Drywall installers, ceiling tile installers, and tapers 6355 Electricians 6360 Glaziers 6400 Insulation workers 6420 Painters, construction and maintenance 6430 Paperhangers 6440 Pipelayers, plumbers, pipefitters, and steamfitters 6460 Plasterers and stucco masons 6500 Reinforcing iron and rebar workers 6515 Roofers 6520 Sheet metal workers 6530 Structural iron and steel workers 6540 Solar photovoltaic installers 6600 Helpers, construction trades 6660 Construction and building inspectors 6700 Elevator installers and repairers 6710 Fence erectors 6720 Hazardous materials removal workers 6730 Highway maintenance workers 6740 Rail-track laying and maintenance equipment operators 6750 Septic tank servicers and sewer pipe cleaners 6765 Miscellaneous construction and related workers 6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining 6820 Earth drillers, except oil and gas 6830 Explosives workers, ordnance handling experts, and blasters 6840 Mining machine operators 6910 Roof bolters, mining 6920 Roustabouts, oil and gas 6930 Helpers?xtraction workers 6940 Other extraction workers 7000 First-line supervisors of mechanics, installers, and repairers 7010 Computer, automated teller, and office machine repairers 7020 Radio and telecommunications equipment installers and repairers 7030 Avionics technicians 7040 Electric motor, power tool, and related repairers 7050 Electrical and electronics installers and repairers, transportation 7100 Electrical and electronics repairers, industrial and utility 7110 Electronic equipment installers and repairers, motor vehicles 7120 Electronic home entertainment equipment installers and repairers 7130 Security and fire alarm systems installers 7140 Aircraft mechanics and service technicians 7150 Automotive body and related repairers 7160 Automotive glass installers and repairers 7200 Automotive service technicians and mechanics 7210 Bus and truck mechanics and diesel engine specialists 7220 Heavy vehicle and mobile equipment service technicians and mechanics 7240 Small engine mechanics 7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers 7300 Control and valve installers and repairers 7315 Heating, air conditioning, and refrigeration mechanics and installers 7320 Home appliance repairers 7330 Industrial and refractory machinery mechanics 7340 Maintenance and repair workers, general 7350 Maintenance workers, machinery 7360 Millwrights 7410 Electrical power-line installers and repairers 7420 Telecommunications line installers and repairers 7430 Precision instrument and equipment repairers 7440 Wind turbine service technicians 7510 Coin, vending, and amusement machine servicers and repairers 7520 Commercial divers 7540 Locksmiths and safe repairers 7550 Manufactured building and mobile home installers 7560 Riggers 7600 Signal and track switch repairers 7610 Helpers?nstallation, maintenance, and repair workers 7630 Other installation, maintenance, and repair workers 7700 First-line supervisors of production and operating workers 7710 Aircraft structure, surfaces, rigging, and systems assemblers 7720 Electrical, electronics, and electromechanical assemblers 7730 Engine and other machine assemblers 7740 Structural metal fabricators and fitters 7750 Miscellaneous assemblers and fabricators 7800 Bakers 7810 Butchers and other meat, poultry, and fish processing workers 7830 Food and tobacco roasting, baking, and drying machine operators and tenders 7840 Food batchmakers 7850 Food cooking machine operators and tenders 7855 Food processing workers, all other 7900 Computer control programmers and operators 7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic 7930 Forging machine setters, operators, and tenders, metal and plastic 7940 Rolling machine setters, operators, and tenders, metal and plastic 7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic 8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic 8020 Milling and planing machine setters, operators, and tenders, metal and plastic 8030 Machinists 8040 Metal furnace operators, tenders, pourers, and casters 8060 Model makers and patternmakers, metal and plastic 8100 Molders and molding machine setters, operators, and tenders, metal and plastic 8120 Multiple machine tool setters, operators, and tenders, metal and plastic 8130 Tool and die makers 8140 Welding, soldering, and brazing workers 8150 Heat treating equipment setters, operators, and tenders, metal and plastic 8160 Layout workers, metal and plastic 8200 Plating and coating machine setters, operators, and tenders, metal and plastic 8210 Tool grinders, filers, and sharpeners 8220 Metal workers and plastic workers, all other 8250 Prepress technicians and workers 8255 Printing press operators 8256 Print binding and finishing workers 8300 Laundry and dry-cleaning workers 8310 Pressers, textile, garment, and related materials 8320 Sewing machine operators 8330 Shoe and leather workers and repairers 8340 Shoe machine operators and tenders 8350 Tailors, dressmakers, and sewers 8360 Textile bleaching and dyeing machine operators and tenders 8400 Textile cutting machine setters, operators, and tenders 8410 Textile knitting and weaving machine setters, operators, and tenders 8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders 8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers 8440 Fabric and apparel patternmakers 8450 Upholsterers 8460 Textile, apparel, and furnishings workers, all other 8500 Cabinetmakers and bench carpenters 8510 Furniture finishers 8520 Model makers and patternmakers, wood 8530 Sawing machine setters, operators, and tenders, wood 8540 Woodworking machine setters, operators, and tenders, except sawing 8550 Woodworkers, all other 8600 Power plant operators, distributors, and dispatchers 8610 Stationary engineers and boiler operators 8620 Water and wastewater treatment plant and system operators 8630 Miscellaneous plant and system operators 8640 Chemical processing machine setters, operators, and tenders 8650 Crushing, grinding, polishing, mixing, and blending workers 8710 Cutting workers 8720 Extruding, forming, pressing, and compacting machine setters, 8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders 8740 Inspectors, testers, sorters, samplers, and weighers 8750 Jewelers and precious stone and metal workers 8760 Medical, dental, and ophthalmic laboratory technicians 8800 Packaging and filling machine operators and tenders 8810 Painting workers 8830 Photographic process workers and processing machine operators 8840 Semiconductor processors 8850 Adhesive bonding machine operators and tenders 8860 Cleaning, washing, and metal pickling equipment operators and tenders 8900 Cooling and freezing equipment operators and tenders 8910 Etchers and engravers 8920 Molders, shapers, and casters, except metal and plastic 8930 Paper goods machine setters, operators, and tenders 8940 Tire builders 8950 Helpers?roduction workers 8965 Production workers, all other 9000 Supervisors of transportation and material moving workers 9030 Aircraft pilots and flight engineers 9040 Air traffic controllers and airfield operations specialists 9050 Flight attendants 9110 Ambulance drivers and attendants, except emergency medical technicians 9120 Bus drivers 9130 Driver/sales workers and truck drivers 9140 Taxi drivers and chauffeurs 9150 Motor vehicle operators, all other 9200 Locomotive engineers and operators 9230 Railroad brake, signal, and switch operators 9240 Railroad conductors and yardmasters 9260 Subway, streetcar, and other rail transportation workers 9300 Sailors and marine oilers 9310 Ship and boat captains and operators 9330 Ship engineers 9340 Bridge and lock tenders 9350 Parking lot attendants 9360 Automotive and watercraft service attendants 9410 Transportation inspectors 9415 Transportation attendants, except flight attendants 9420 Other transportation workers 9500 Conveyor operators and tenders 9510 Crane and tower operators 9520 Dredge, excavating, and loading machine operators 9560 Hoist and winch operators 9600 Industrial truck and tractor operators 9610 Cleaners of vehicles and equipment 9620 Laborers and freight, stock, and material movers, hand 9630 Machine feeders and offbearers 9640 Packers and packagers, hand 9650 Pumping station operators 9720 Refuse and recyclable material collectors 9730 Mine shuttle car operators 9740 Tank car, truck, and ship loaders 9750 Material moving workers, all other 9800 Military officer special and tactical operations leaders 9810 First-line enlisted military supervisors 9820 Military enlisted tactical operations and air/weapons specialists and crew members 9830 Military, rank not specified 9997 Uncodeable 9998 DK 9999 NA	1631
KDOCCINDV	Label: Kid's occ/ind verbatim retrieved Format: F8.0 Measure: Nominal Display Width: 11 Missing Values: -1 Value Label -1 IAP 0 No verbatims for kd 1 Verbatims for kd	1632
KDOCCSTATUS	Label: KDOCC10 coding status Format: F8.0 Measure: Nominal Display Width: 13 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned 8 Case not collected in 1994	1633
KDOCCTAG	Label: KDOCC10 coding tag Format: F8.0 Measure: Nominal Display Width: 10 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	1634
KDIND10	Label: R child census industry code (2010) Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0; 9998; 9999 Value Label 0 IAP 170 Crop production 180 Animal production 190 Forestry, except logging 270 Logging 280 Fishing, hunting, and trapping 290 Support activities for agriculture and forestry 370 Oil and gas extraction 380 Coal mining 390 Metal ore mining 470 Nonmetallic mineral mining and quarrying 480 Not specified type of mining 490 Support activities for mining 570 Electric power generation, transmission, and distribution 580 Natural gas distribution 590 Electric and gas, and other combinations 670 Water, steam, air-conditioning, and irrigation systems 680 Sewage treatment facilities 690 Not specified utilities 770 Construction 1070 Animal food, grain, and oilseed milling 1080 Sugar and confectionery products 1090 Fruit and vegetable preserving and specialty food manufacturing 1170 Dairy product manufacturing 1180 Animal slaughtering and processing 1190 Retail bakeries 1270 Bakeries, except retail 1280 Seafood and other miscellaneous foods, n.e.c. 1290 Not specified food industries 1370 Beverage manufacturing 1390 Tobacco manufacturing 1470 Fiber, yarn, and thread mills 1480 Fabric mills, except knitting mills 1490 Textile and fabric finishing and coating mills 1570 Carpet and rug mills 1590 Textile product mills, except carpet and rug 1670 Knitting fabric mills, and apparel knitting mills 1680 Cut and sew apparel manufacturing 1690 Apparel accessories and other apparel manufacturing 1770 Footwear manufacturing 1790 Leather tanning and finishing and other allied products manufacturing 1870 Pulp, paper, and paperboard mills 1880 Paperboard containers and boxes 1890 Miscellaneous paper and pulp products 1990 Printing and related support activities 2070 Petroleum refining 2090 Miscellaneous petroleum and coal products 2170 Resin, synthetic rubber and fibers, and filaments manufacturing 2180 Agricultural chemical manufacturing 2190 Pharmaceutical and medicine manufacturing 2270 Paint, coating, and adhesive manufacturing 2280 Soap, cleaning compound, and cosmetics manufacturing 2290 Industrial and miscellaneous chemicals 2370 Plastics product manufacturing 2380 Tire manufacturing 2390 Rubber product, except tire, manufacturing 2470 Pottery, ceramics, and plumbing fixture manufacturing 2480 Structural clay product manufacturing 2490 Glass and glass product manufacturing 2570 Cement, concrete, lime, and gypsum product manufacturing 2590 Miscellaneous nonmetallic mineral product manufacturing 2670 Iron and steel mills and steel product manufacturing 2680 Aluminum production and processing 2690 Nonferrous metal (except aluminum) production and processing 2770 Foundries 2780 Metal forgings and stampings 2790 Cutlery and hand tool manufacturing 2870 Structural metals, and boiler, tank, and shipping container manufacturing 2880 Machine shops; turned product; screw, nut, and bolt manufacturing 2890 Coating, engraving, heat treating and allied activities 2970 Ordnance 2980 Miscellaneous fabricated metal products manufacturing 2990 Not specified metal industries 3070 Agricultural implement manufacturing 3080 Construction, and mining and oil and gas field machinery manufacturing 3090 Commercial and service industry machinery manufacturing 3170 Metalworking machinery manufacturing 3180 Engines, turbines, and power transmission equipment manufacturing 3190 Machinery manufacturing, n.e.c. 3290 Not specified machinery manufacturing 3360 Computer and peripheral equipment manufacturing 3370 Communications, and audio and video equipment manufacturing 3380 Navigational, measuring, electromedical, and control instruments manufacturing 3390 Electronic component and product manufacturing, n.e.c. 3470 Household appliance manufacturing 3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c. 3570 Motor vehicles and motor vehicle equipment manufacturing 3580 Aircraft and parts manufacturing 3590 Aerospace product and parts manufacturing 3670 Railroad rolling stock manufacturing 3680 Ship and boat building 3690 Other transportation equipment manufacturing 3770 Sawmills and wood preservation 3780 Veneer, plywood, and engineered wood products 3790 Prefabricated wood buildings and mobile homes 3870 Miscellaneous wood products 3890 Furniture and related product manufacturing 3960 Medical equipment and supplies manufacturing 3970 Sporting and athletic goods, and doll, toy and game manufacturing 3980 Miscellaneous manufacturing, n.e.c. 3990 Not specified manufacturing industries 4070 Motor vehicles, parts and supplies, merchant wholesalers 4080 Furniture and home furnishing, merchant wholesalers 4090 Lumber and other construction materials, merchant wholesalers 4170 Professional and commercial equipment and supplies, merchant wholesalers 4180 Metals and minerals, except petroleum, merchant wholesalers 4190 Electrical and electronic goods, merchant wholesalers 4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers 4270 Machinery, equipment, and supplies, merchant wholesalers 4280 Recyclable material, merchant wholesalers 4290 Miscellaneous durable goods, merchant wholesalers 4370 Paper and paper products, merchant wholesalers 4380 Drugs, sundries, and chemical and allied products, merchant wholesalers 4390 Apparel, fabrics, and notions, merchant wholesalers 4470 Groceries and related products, merchant wholesalers 4480 Farm product raw materials, merchant wholesalers 4490 Petroleum and petroleum products, merchant wholesalers 4560 Alcoholic beverages, merchant wholesalers 4570 Farm supplies, merchant wholesalers 4580 Miscellaneous nondurable goods, merchant wholesalers 4585 Wholesale electronic markets, agents and brokers 4590 Not specified wholesale trade 4670 Automobile dealers 4680 Other motor vehicle dealers 4690 Auto parts, accessories, and tire stores 4770 Furniture and home furnishings stores 4780 Household appliance stores 4790 Radio, TV, and computer stores 4870 Building material and supplies dealers 4880 Hardware stores 4890 Lawn and garden equipment and supplies stores 4970 Grocery stores 4980 Specialty food stores 4990 Beer, wine, and liquor stores 5070 Pharmacies and drug stores 5080 Health and personal care, except drug, stores 5090 Gasoline stations 5170 Clothing stores 5180 Shoe stores 5190 Jewelry, luggage, and leather goods stores 5270 Sporting goods, camera, and hobby and toy stores 5280 Sewing, needlework, and piece goods stores 5290 Music stores 5370 Book stores and news dealers 5380 Department stores and discount stores 5390 Miscellaneous general merchandise stores 5470 Retail florists 5480 Office supplies and stationery stores 5490 Used merchandise stores 5570 Gift, novelty, and souvenir shops 5580 Miscellaneous retail stores 5590 Electronic shopping 5591 Electronic auctions 5592 Mail order houses 5670 Vending machine operators 5680 Fuel dealers 5690 Other direct selling establishments 5790 Not specified retail trade 6070 Air transportation 6080 Rail transportation 6090 Water transportation 6170 Truck transportation 6180 Bus service and urban transit 6190 Taxi and limousine service 6270 Pipeline transportation 6280 Scenic and sightseeing transportation 6290 Services incidental to transportation 6370 Postal Service 6380 Couriers and messengers 6390 Warehousing and storage 6470 Newspaper publishers 6480 Periodical, book, and directory publishers 6490 Software publishers 6570 Motion pictures and video industries 6590 Sound recording industries 6670 Radio and television broadcasting and cable subscription programming 6672 Internet publishing and broadcasting and web search portals 6680 Wired telecommunications carriers 6690 Other telecommunications services 6695 Data processing, hosting, and related services 6770 Libraries and archives 6780 Other information services 6870 Banking and related activities 6880 Savings institutions, including credit unions 6890 Non-depository credit and related activities 6970 Securities, commodities, funds, trusts, and other financial investments 6990 Insurance carriers and related activities 7070 Real estate 7080 Automotive equipment rental and leasing 7170 Video tape and disk rental 7180 Other consumer goods rental 7190 Commercial, industrial, and other intangible assets rental and leasing 7270 Legal services 7280 Accounting, tax preparation, bookkeeping, and payroll services 7290 Architectural, engineering, and related services 7370 Specialized design services 7380 Computer systems design and related services 7390 Management, scientific, and technical consulting services 7460 Scientific research and development services 7470 Advertising and related services 7480 Veterinary services 7490 Other professional, scientific, and technical services 7570 Management of companies and enterprises 7580 Employment services 7590 Business support services 7670 Travel arrangements and reservation services 7680 Investigation and security services 7690 Services to buildings and dwellings 7770 Landscaping services 7780 Other administrative and other support services 7790 Waste management and remediation services 7860 Elementary and secondary schools 7870 Colleges and universities, including junior colleges 7880 Business, technical, and trade schools and training 7890 Other schools and instruction, and educational support services 7970 Offices of physicians 7980 Offices of dentists 7990 Offices of chiropractors 8070 Offices of optometrists 8080 Offices of other health practitioners 8090 Outpatient care centers 8170 Home health care services 8180 Other health care services 8190 Hospitals 8270 Nursing care facilities 8290 Residential care facilities, without nursing 8370 Individual and family services 8380 Community food and housing, and emergency services 8390 Vocational rehabilitation services 8470 Child day care services 8560 Independent artists, performing arts, spectator sports, and related industries 8570 Museums, art galleries, historical sites, and similar institutions 8580 Bowling centers 8590 Other amusement, gambling, and recreation industries 8660 Traveler accommodation 8670 Recreational vehicle parks and camps, and rooming and boarding houses 8680 Restaurants and other food services 8690 Drinking places, alcoholic beverages 8770 Automotive repair and maintenance 8780 Car washes 8790 Electronic and precision equipment repair and maintenance 8870 Commercial and industrial machinery and equipment repair and maintenance 8880 Personal and household goods repair and maintenance 8890 Footwear and leather goods repair 8970 Barber shops 8980 Beauty salons 8990 Nail salons and other personal care services 9070 Drycleaning and laundry services 9080 Funeral homes, and cemeteries and crematories 9090 Other personal services 9160 Religious organizations 9170 Civic, social, advocacy organizations, and grantmaking and giving services 9180 Labor unions 9190 Business, professional, political, and similar organizations 9290 Private households 9370 Executive offices and legislative bodies 9380 Public finance activities 9390 Other general government and support 9470 Justice, public order, and safety activities 9480 Administration of human resource programs 9490 Administration of environmental quality and housing programs 9570 Administration of economic programs and space research 9590 National security and international affairs 9670 U.S. Army 9680 U.S. Air Force 9690 U.S. Navy 9770 U.S. Marine Corps 9780 U.S. Coast Guard 9790 U.S. Armed Forces/n.s. 9870 Active duty military personnel, all other 9997 Uncodeable 9998 DK 9999 NA	1635
KDINDSTATUS	Label: KDIND10 coding status Format: F8.0 Measure: Nominal Display Width: 13 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned 8 Case not collected in 1994	1636
KDINDTAG	Label: KDIND10 coding tag Format: F8.0 Measure: Nominal Display Width: 10 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	1637
KDPRES10	Label: R child occupational prestige score (2010) Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0 Value Label 0 IAP,DK,NA	1638
KDPRES105PLUS	Label: R child occupational prestige score using threshold method (2010) Format: F8.0 Measure: Scale Display Width: 15 Missing Values: 0 Value Label 0 IAP,DK,NA	1639
SBSEX1	Label: Sex of R 1st sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1640
SBSEX2	Label: Sex of R 2nd sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1641
SBSEX3	Label: Sex of R 3rd sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1642
SBSEX4	Label: Sex of R 4th sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1643
SBSEX5	Label: Sex of R 5th sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1644
SBSEX6	Label: Sex of R 6th sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1645
SBSEX7	Label: Sex of R 7th sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1646
SBSEX8	Label: Sex of R 8th sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1647
SBSEX9	Label: Sex of R 9th sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	1648
SBYRBRN1	Label: Birth year of R 1st sibling Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1649
SBYRBRN2	Label: Birth year of R 2nd sibling Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1650
SBYRBRN3	Label: Birth year of R 3rd sibling Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1651
SBYRBRN4	Label: Birth year of R 4th sibling Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1652
SBYRBRN5	Label: Birth year of R 5th sibling Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1653
SBYRBRN6	Label: Birth year of R 6th sibling Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1654
SBYRBRN7	Label: Birth year of R 7th sibling Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1655
SBYRBRN8	Label: Birth year of R 8th sibling Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1656
SBYRBRN9	Label: Birth year of R 9th sibling Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9996 BEFORE 1976 9998 DK 9999 NA	1657
SBREL1	Label: R relation to R 1st sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FULL 2 ADOPTED 3 STEP 4 HALF 8 DK 9 NA	1658
SBREL2	Label: R relation to R 2nd sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FULL 2 ADOPTED 3 STEP 4 HALF 8 DK 9 NA	1659
SBREL3	Label: R relation to R 3rd sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FULL 2 ADOPTED 3 STEP 4 HALF 8 DK 9 NA	1660
SBREL4	Label: R relation to R 4th sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FULL 2 ADOPTED 3 STEP 4 HALF 8 DK 9 NA	1661
SBREL5	Label: R relation to R 5th sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FULL 2 ADOPTED 3 STEP 4 HALF 8 DK 9 NA	1662
SBREL6	Label: R relation to R 6th sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FULL 2 ADOPTED 3 STEP 4 HALF 8 DK 9 NA	1663
SBREL7	Label: R relation to R 7th sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FULL 2 ADOPTED 3 STEP 4 HALF 8 DK 9 NA	1664
SBREL8	Label: R relation to R 8th sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FULL 2 ADOPTED 3 STEP 4 HALF 8 DK 9 NA	1665
SBREL9	Label: R relation to R 9th sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FULL 2 ADOPTED 3 STEP 4 HALF 8 DK 9 NA	1666
SBALIVE1	Label: R 1st sibling alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1667
SBALIVE2	Label: R 2nd sibling alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1668
SBALIVE3	Label: R 3rd sibling alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1669
SBALIVE4	Label: R 4th sibling alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1670
SBALIVE5	Label: R 5th sibling alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1671
SBALIVE6	Label: R 6th sibling alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1672
SBALIVE7	Label: R 7th sibling alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1673
SBALIVE8	Label: R 8th sibling alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1674
SBALIVE9	Label: R 9th sibling alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1675
SBPICKED	Label: Number of sibling randomly chosen Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 IAP	1676
SBEDUC	Label: Highest schl grade of selected R sibling Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 97; 98; 99 Value Label 97 IAP 98 DK 99 NA	1677
SBDEG	Label: Highest schl grade of selected R sibling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 7; 8; 9 Value Label 0 LT HIGH SCHOOL 1 HIGH SCHOOL 2 JUNIOR COLLEGE 3 BACHELOR 4 GRADUATE 7 IAP 8 DK 9 NA	1678
SBWORK1	Label: Does R sibling do paid work? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1679
SBWORK2	Label: Does R sibling do paid or unpaid work? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1680
SBEVWORK	Label: Did R sibling work for 1 or more yr? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1681
SBOCC80	Label: R sibling census occupation code (1980) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 3 Legislators 4 Chief Executives and General Admin., Public Admin 5 Administrators and Officials, Public Administration 6 Administrators, Protective Service 7 Financial Managers 8 Personnel and Labor Relations Managers 9 Purchasing Managers 13 Managers, Marketing, Advertising, and Public Relations 14 Administrators, Education and Related Fields 15 Managers, Medicine and Health 16 Managers, Properties and Real Estate 17 Postmasters and Mail Superintendents 18 Funeral Directors 19 Managers and Administrators, n.e.c. 23 Accountants and Auditors 24 Underwriters 25 Other Financial Officers 26 Management Analysts 27 Personnel, Training, and Labor Relations Specialists 28 Purchasing Agents and Buyers, Farm Products 29 Buyers, Wholesale and Retail Trade Except Farm Products 33 Purchasing Agents and Buyers 34 Business and Promotion Agents 35 Construction Inspectors 36 Inspectors/Compliance Officers, Except Construction 37 Management Related Occupations, n.e.c. 43 Architects 44 Aerospace Engineers 45 Metallurgical and Materials Engineers 46 Mining Engineers 47 Petroleum Engineers 48 Chemical Engineers 49 Nuclear Engineers 53 Civil Engineers 54 Agricultural Engineers 55 Electrical and Electronic Engineers 56 Industrial Engineers 57 Mechanical Engineers 58 Marine and Naval Architects 59 Engineers, n.e.c. 63 Surveyors and Mapping Scientists 64 Computer Systems Analysts and Scientists 65 Operations and Systems Researchers and Analysts 66 Actuaries 67 Statisticians 68 Mathematical Scientists, n.e.c. 69 Physicists and Astronomers 73 Chemists, Except Biochemists 74 Atmospheric and Space Scientists 75 Geologists and Geodesists 76 Physical Scientists, n.e.c. 77 Agricultural and Food Scientists 78 Biological and Life Scientists 79 Forestry and Conservation Scientists 83 Medical Scientists 84 Physicians 85 Dentists 86 Veterinarians 87 Optometrists 88 Podiatrists 89 Health Diagnosing Practitioners, n.e.c. 95 Registered Nurses 96 Pharmacists 97 Dietitians 98 Inhalation Therapists 99 Occupational Therapists 103 Physical Therapists 104 Speech Therapists 105 Therapists, n.e.c. 106 Physicians' Assistants 113 Earth, Environmental, and Marine Science Teachers 114 Biological Science Teachers 115 Chemistry Teachers 116 Physics Teachers 117 Natural Science Teachers, n.e.c. 118 Psychology Teachers 119 Economics Teachers 123 History Teachers 124 Political Science Teachers 125 Sociology Teachers 126 Social Science Teachers, n.e.c. 127 Engineering Teachers 128 Mathematical Science Teachers 129 Computer Science Teachers 133 Medical Science Teachers 134 Health Specialties Teachers 135 Business, Commerce, and Marketing Teachers 136 Agriculture and Forestry Teachers 137 Art, Drama, and Music Teachers 138 Physical Education Teachers 139 Education Teachers 143 English Teachers 144 Foreign Language Teachers 145 Law Teachers 146 Social Work Teachers 147 Theology Teachers 148 Trade and Industrial Teachers 149 Home Economics Teachers 153 Teachers, Postsecondary, n.e.c. 154 Postsecondary Teachers, Subject Not Specified 155 Teachers, Prekindergarten and Kindergarten 156 Teachers, Elementary School 157 Teachers, Secondary School 158 Teachers, Special Education 159 Teachers, n.e.c. 163 Counselors, Educational and Vocational 164 Librarians 165 Archivists and Curators 166 Economists 167 Psychologists 168 Sociologists 169 Social Scientists, n.e.c. 173 Urban Planners 174 Social Workers 175 Recreation Workers 176 Clergy 177 Religious Workers, n.e.c. 178 Lawyers 179 Judges 183 Authors 184 Technical Writers 185 Designers 186 Musicians and Composers 187 Actors and Directors 188 Painters, Sculptors, Craft-Artists, and Printmakers 189 Photographers 193 Dancers 194 Artists, Performers, and Related Workers, n.e.c. 195 Editors and Reporters 197 Public Relations Specialists 198 Announcers 199 Athletes 203 Clinical Laboratory Technologists and Technicians 204 Dental Hygienists 205 Health Record Technologists and Technicians 206 Radiologic Technicians 207 Licensed Practical Nurses 208 Health Technologists and Technicians, n.e.c. 213 Electrical and Electronic Technicians 214 Industrial Engineering Technicians 215 Mechanical Engineering Technicians 216 Engineering Technicians, n.e.c. 217 Drafting Occupations 218 Surveying and Mapping Technicians 223 Biological Technicians 224 Chemical Technicians 225 Science Technicians, n.e.c. 226 Airplane Pilots and Navigators 227 Air Traffic Controllers 228 Broadcast Equipment Operators 229 Computer Programmers 233 Tool Programmers, Numerical Control 234 Legal Assistants 235 Technicians, n.e.c. 243 Supervisors and Proprietors, Sales Occupations 253 Insurance Sales Occupations 254 Real Estate Sales Occupations 255 Securities and Financial Services Sales Occupations 256 Advertising and Related Sales Occupations 257 Sales Occupations, Other Business Services 258 Sales Engineers 259 Sales Rep., Mining, Manufacturing, and Wholesale 263 Sales Workers, Motor Vehicles and Boats 264 Sales Workers, Apparel 265 Sales Workers, Shoes 266 Sales Workers, Furniture and Home Furnishings 267 Sales Workers, Radio, TV, Hi-Fi, and Appliances 268 Sales Workers, Hardware and Building Supplies 269 Sales Workers, Parts 274 Sales Workers, Other Commodities 275 Sales Counter Clerks 276 Cashiers 277 Street and Door-To-Door Sales Workers 278 News Vendors 283 Demonstrators, Promoters and Models, Sales 284 Auctioneers 285 Sales Support Occupations, n.e.c. 303 Supervisors, General Office 304 Supervisors, Computer Equipment Operators 305 Supervisors, Financial Records Processing 306 Chief Communications Operators 307 Supervisors, Distribution, Scheduling, and Adjusting Clerks 308 Computer Operators 309 Peripheral Equipment Operators 313 Secretaries 314 Stenographers 315 Typists 316 Interviewers 317 Hotel Clerks 318 Transportation Ticket and Reservation Agents 319 Receptionists 323 Information Clerks, n.e.c. 325 Classified-Ad Clerks 326 Correspondence Clerks 327 Order Clerks 328 Personnel Clerks, Except Payroll and Timekeeping 329 Library Clerks 335 File Clerks 336 Records Clerks 337 Bookkeepers, Accounting and Auditing Clerks 338 Payroll and Timekeeping Clerks 339 Billing Clerks 343 Cost and Rate Clerks 344 Billing, Posting, and Calculating Machine Operators 345 Duplicating Machine Operators 346 Mail Preparing and Paper Handling Machine Operators 347 Office Machine Operators, n.e.c. 348 Telephone Operators 349 Telegraphers 353 Communications Equipment Operators, n.e.c. 354 Postal Clerks, Excluding Mail Carriers 355 Mail Carriers, Postal Service 356 Mail Clerks, Excluding Postal Service 357 Messengers 359 Dispatchers 363 Production Coordinators 364 Traffic, Shipping and Receiving Clerks 365 Stock and Inventory Clerks 366 Meter Readers 368 Weighers, Measurers, and Checkers 369 Samplers 373 Expediters 374 Material Recording, Scheduling and Distributing Clerks, n.e.c. 375 Insurance Adjusters, Examiners, and Investigators 376 Investigators and Adjusters, Except Insurance 377 Eligibility Clerks, Social Welfare 378 Bill and Account Collectors 379 General Office Clerks 383 Bank Tellers 384 Proofreaders 385 Data-Entry Keyers 386 Statistical Clerks 387 Teachers' Aides 389 Administrative Support Occupations, n.e.c. 403 Launderers and Ironers 404 Cooks, Private Household 405 Housekeepers and Butlers 406 Child Care Workers, Private Household 407 Private Household Cleaners and Servants 413 Supervisors, Firefighting and Fire Prevention Occupations 414 Supervisors, Police and Detectives 415 Supervisors, Guards 416 Fire Inspection and Fire Prevention Occupations 417 Firefighting Occupations 418 Police and Detectives, Public Service 423 Sheriffs, Bailiffs, and Other Law Enforcement Officers 424 Correctional Institution Officers 425 Crossing Guards 426 Guards and Police, Excluding Public Service 427 Protective Service Occupations 430 Former Member of the Armed Forces 431 Current Member of the Armed Forces 433 Supervisors, Food Preparation and Service Occupations 434 Bartenders 435 Waiters and Waitresses 436 Cooks, Except Short Order 437 Short-Order Cooks 438 Food Counter, Fountain and Related Occupations 439 Kitchen Workers, Food Preparation 443 Waiters'/Waitresses' Assistants 444 Miscellaneous Food Preparation Occupations 445 Dental Assistants 446 Health Aids, Except Nursing 447 Nursing Aides, Orderlies and Attendants 448 Supervisors, Cleaning and Building Service Workers 449 Maids and Housemen 453 Janitors and Cleaners 454 Elevator Operators 455 Pest Control Occupations 456 Supervisors, Personal Service Occupations 457 Barbers 458 Hairdressers and Cosmetologists 459 Attendants, Amusement and Recreation Facilities 463 Guides 464 Ushers 465 Public Transportation Attendants 466 Baggage Porters and Bellhops 467 Welfare Service Aides 468 Child Care Workers, Except Private Household 469 Personal Service Occupations, n.e.c. 473 Farmers, Except Horticultural 474 Horticultural Specialty Farmers 475 Managers, Farms, Except Horticultural 476 Managers, Horticultural Specialty Farms 477 Supervisors, Farm Workers 479 Farm Workers 483 Marine Life Cultivation Workers 484 Nursery Workers 485 Supervisors, Related Agricultural Occupations 486 Groundskeepers and Gardeners, Except Farm 487 Animal Caretakers, Except Farm 488 Graders and Sorters, Agricultural Products 489 Inspectors, Agricultural Products 494 Supervisors, Forestry and Logging Workers 495 Forestry Workers, Except Logging 496 Timber Cutting and Logging Occupations 497 Captains and Other Officers, Fishing Vessels 498 Fishers 499 Hunters and Trappers 503 Supervisors, Mechanics and Repairers 505 Automobile Mechanics, Except Apprentices 506 Automobile Mechanic Apprentices 507 Bus, Truck, and Stationary Engine Mechanics 508 Aircraft Engine Mechanics 509 Small Engine Repairers 514 Automobile Body and Related Repairers 515 Aircraft Mechanics, Excluding Engine 516 Heavy Equipment Mechanics 517 Farm Equipment Mechanics 518 Industrial Machinery Repairers 519 Machinery Maintenance Occupations 523 Electronic Repairers, Communications and Industrial Equipment 525 Data Processing Equipment Repairers 526 Household Appliance and Power Tool Repairers 527 Telephone Line Installers and Repairers 529 Telephone Installers and Repairers 533 Misc. Electrical and Electronic Equipment Repairers 534 Heating, Air Conditioning, and Refrigeration Mechanics 535 Camera, Watch, and Musical Instrument Repairers 536 Locksmiths and Safe Repairers 538 Office Machine Repairers 539 Mechanical Controls and Valve Repairers 543 Elevator Installers and Repairers 544 Millwrights 547 Specified Mechanics and Repairers, n.e.c. 549 Not Specified Mechanics and Repairers 553 Supervisors, Brickmasons, Stonemasons, and Title Setters 554 Supervisors, Carpenters and Related Work 555 Supervisors, Electricians and Power Transmission Installers 556 Supervisors, Painters, Paperhangers, and Plasterers 557 Supervisors, Plumbers, Pipefitters, and Steamfitters 558 Supervisors, n.e.c. 563 Brickmasons and Stonemasons, Except Apprentices 564 Brickmasons and Stonemasons Apprentices 565 Tile Setters, Hard and Soft 566 Carpet Installers 567 Carpenters, Except Apprentices 569 Carpenter Apprentices 573 Drywall Installers 575 Electricians, Except Apprentices 576 Electrician Apprentices 577 Electrical Power Installers and Repairers 579 Painters, Construction and Maintenance 583 Paperhangers 584 Plasterers 585 Plumbers, Pipefitters, and Steamfitters, Except Apprentices 587 Plumber, Pipefitter, and Steamfitter Apprentices 588 Concrete and Terrazzo Finishers 589 Glaziers 593 Insulation Workers 594 Paving, Surfacing, and Tamping Equipment Operators 595 Roofers 596 Sheetmetal Duct Installers 597 Structural Metal Workers 598 Drillers, Earth 599 Construction Trades, n.e.c. 613 Supervisors, Extractive Occupations 614 Drillers, Oil Well 615 Explosives Workers 616 Mining Machine Operators 617 Mining Occupations, n.e.c. 633 Supervisors, Production Occupations 634 Tool and Die Makers, Except Apprentices 635 Tool and Die Maker Apprentices 636 Precision Assemblers, Metal 637 Machinists, Except Apprentices 639 Machinist Apprentices 643 Boilermakers 644 Precision Grinders, Fitters, and Tool Sharpeners 645 Patternmakers and Model Makers, Metal 646 Lay-Out Workers 647 Precious Stones and Metals Workers 649 Engravers, Metal 653 Sheet Metal Workers, Except Apprentices 654 Sheet Metal Worker, Apprentices 655 Miscellaneous Precision Metal Workers 656 Patternmakers and Model Makers, Wood 657 Cabinet Makers and Bench Carpenters 658 Furniture and Wood Finishers 659 Miscellaneous Precision Woodworkers 666 Dressmakers 667 Tailors 668 Upholsterers 669 Shoe Repairers 673 Apparel and Fabric Patternmakers 674 Miscellaneous Precision Apparel and Fabric Workers 675 Hand Molders and Shapers, Except Jewelers 676 Patternmakers, Lay-Out Workers, and Cutters 677 Optical Goods Workers 678 Dental Laboratory and Medical Appliance Technicians 679 Bookbinders 683 Electrical and Electronic Equipment Assemblers 684 Miscellaneous Precision Workers, n.e.c. 686 Butchers and Meat Cutters 687 Bakers 688 Food Batchmakers 689 Inspectors, Testers, and Graders 693 Adjusters and Calibrators 694 Water and Sewage Treatment Plant Operators 695 Power Plant Operators 696 Stationary Engineers 699 Miscellaneous Plant and System Operators 703 Lathe and Turning Machine Set-Up Operators 704 Lathe and Turning Machine Operators 705 Milling and Planing Machine Operators 706 Punching and Stamping Press Machine Operators 707 Rolling Machine Operators 708 Drilling and Boring Machine Operators 709 Grinding, Abrading, Buffing, and Polishing Machine Operators 713 Forging Machine Operators 715 Miscellaneous Metal, Plastic, Stone, and Glass Working Machine Operators 717 Fabricating Machine Operators, n.e.c. 719 Molding and Casting Machine Operators 723 Metal Plating Machine Operators 724 Heat Treating Equipment Operators 725 Miscellaneous Metal and Plastic Processing Machine Operators 726 Wood Lathe, Routing and Planing Machine Operators 727 Sawing Machine Operators 728 Shaping and Joining Machine Operators 729 Nailing and Tacking Machine Operators 733 Miscellaneous Woodworking Machine Operators 734 Printing Machine Operators 735 Photoengravers and Lithographers 736 Typesetters and Compositors 737 Miscellaneous Printing Machine Operators 738 Winding and Twisting Machine Operators 739 Knitting, Looping, Taping, and Weaving Machine Operators 743 Textile Cutting Machine Operators 744 Textile Sewing Machine Operators 745 Shoe Machine Operators 747 Pressing Machine Operators 748 Laundering and Dry Cleaning Machine Operators 749 Miscellaneous Textile Machine Operators 753 Cementing and Gluing Machine Operators 754 Packaging and Filling Machine Operators 755 Extruding and Forming Machine Operators 756 Mixing and Blending Machine Operators 757 Separating, Filtering, and Clarifying Machine Operators 758 Compressing and Compacting Machine Operators 759 Painting and Paint Spraying Machine Operators 763 Roasting and Baking Machine Operators, Food 764 Washing, Cleaning, and Pickling Machine Operators 765 Folding Machine Operators 766 Furnace, Kiln, and Oven Operators, Except Food 768 Crushing and Grinding Machine Operators 769 Slicing and Cutting Machine Operators 773 Motion Picture Projectionists 774 Photographic Process Machine Operators 777 Miscellaneous and Not Specified Machine Operators, n.e.c. 779 Machine Operators, Not Specified 783 Welders and Cutters 784 Solderers and Blazers 785 Assemblers 786 Hand Cutting and Trimming Occupations 787 Hand Molding, Casting, and Forming Occupations 789 Hand Painting,Coating, and Decorating Occupations 793 Hand Engraving and Printing Occupations 794 Hand Grinding and Polishing Occupations 795 Miscellaneous Hand Working Occupations 796 Production Inspectors, Checkers, and Examiners 797 Production Testers 798 Production Samplers and Weighers 799 Graders and Sorters, Except Agricultural 803 Supervisors, Motor Vehicle Operators 804 Truck Drivers, Heavy 805 Truck Drivers, Light 806 Driver-Sales Workers 808 Bus Drivers 809 Taxicab Drivers and Chauffeurs 813 Parking Lot Attendants 814 Motor Transportation Occupations, n.e.c. 823 Railroad Conductors and Yardmasters 824 Locomotive Operating Occupations 825 Railroad Brake, Signal, and Switch Operators 826 Rail Vehicle Operators, n.e.c. 828 Ship Captains and Mates, Except Fishing Boats 829 Sailors and Deckhands 833 Marine Engineers 834 Bridge, Lock and Lighthouse Tenders 843 Supervisors, Material Moving Equipment Operators 844 Operating Engineers 845 Longshore Equipment Operators 848 Hoist and Winch Operators 849 Crane and Tower Operators 853 Excavating and Loading Machine Operators 855 Grader, Dozer, and Scraper Operators 856 Industrial Truck and Tractor Equipment Operators 859 Miscellaneous Material Moving Equipment Operators 863 Handlers, Equipment Cleaners, Helpers, and Laborers, n.e.c. 864 Helpers, Mechanics and Repairers 865 Helpers, Construction Trades 866 Helpers, Surveyor 867 Helpers, Extractive Occupations 869 Construction Laborers 873 Production Helpers 875 Garbage Collectors 876 Stevedores 877 Stock Handlers and Baggers 878 Machine Feeders and Offbearers 883 Freight, Stock, and Material Handlers, n.e.c. 885 Garage and Service Station Related Occupations 887 Vehicle Washers and Equipment Cleaners 888 Hand Packers and Packagers 889 Laborers, Except Construction 998 DK 999 NA	1682
SBPRES80	Label: R sibling occupational prestige score (1980) Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 DK,NA,IAP	1683
SBWRKSLF	Label: R sibling self-employed? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF EMPLOYED 2 SOMEONE ELSE 8 DK 9 NA	1684
SBIND80	Label: R sibling industry code (1980) Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 10 Agricultural production, crops 11 Agricultural production, livestock 20 Agricultural services, except horticultural 21 Horticultural services 30 Forestry 31 Fishing, hunting, and trapping, etc. 40 Metal mining 41 Coal mining 42 Crude petroleum and natural gas extraction 50 Nonmetallic mining and quarrying, except fuel 60 CONSTRUCTION 100 Meat products 101 Dairy products 102 Canned and preserved fruits and vegetables 110 Grain mill products 111 Bakery products 112 Sugar and confectionery products 120 Beverage industries 121 Miscellaneous food preparations and kindred products 122 Not specified food industries 130 Tobacco manufactures 132 Knitting mills 140 Dyeing and finishing textiles, except wool and knit goods 141 Floor coverings, except hard surface 142 Yarn, thread, and fabric mills 150 Miscellaneous textile mill products 151 Apparel and accessories, except knit 152 Miscellaneous fabricated textile products 160 Pulp, paper, and paperboard mills 161 Miscellaneous paper and pulp products 162 Paperboard containers and boxes 171 Newspaper publishing and printing 172 Printing, publishing, and allied industries, except newspapers 180 Plastics, synthetics, and resins 181 Drugs 182 Soaps and cosmetics 185 Paints, varnishes, and related products 190 Agricultural chemicals 191 Industrial and miscellaneous chemicals 192 Petroleum and coal products 200 Petroleum refining 201 Miscellaneous petroleum and coal products 210 Tires and inner tubes 211 Other rubber products, and plastics footwear and belting 212 Miscellaneous plastics products 220 Leather tanning and finishing 221 Footwear, except rubber and plastic 222 Leather products, except footwear 230 Logging 231 Sawmills, planning mills, and millwork 232 Wood buildings and mobile homes 241 Miscellaneous wood products 242 Furniture and fixtures 250 Glass and glass products 251 Cement, concrete, gypsum, and plaster products 252 Structural clay products 261 Pottery and related products 262 Miscellaneous nonmetallic mineral and stone products 270 Blast furnaces, steelworks, rolling and finishing mills 271 Iron and steel foundries 272 Primary aluminum industries 280 Other primary metal industries 281 Cutlery, hand tools, and other hardware 282 Fabricated structural metal products 290 Screw machine products 291 Metal forgings and stampings 292 Ordnance 300 Miscellaneous fabricated metal products 301 Not specified metal industries 310 Engines and turbines 311 Farm machinery and equipment 312 Construction and material handling machines 320 Metalworking machinery 321 Office and accounting machines 322 Electronic computing equipment 331 Machinery, except electrical, n.e.c. 332 Not specified machinery 340 Household appliances 341 Radio, TV, and communication equipment 342 Electrical machinery, equipment, and supplies, n.e.c. 350 Not specified electrical machinery, equipment, and supplies 351 Motor vehicles and motor vehicle equipment 352 Aircraft and parts 360 Ship and boat building and repairing 361 Railroad locomotives and equipment 362 Guided missiles, space vehicles, and parts 370 Cycles and miscellaneous transportation equipment 371 Scientific and controlling instruments 372 Optical and health services supplies 380 Photographic equipment and supplies 381 Watches, clocks, and clockwork operated devices 382 Not specified professional equipment 390 Toys, amusement, and sporting goods 391 Miscellaneous manufacturing industries 392 Not specified manufacturing industries 400 Railroads 401 Bus service and urban transit 402 Taxicab service 410 Trucking service 411 Warehousing and storage 412 U.S. Postal Service 420 Water transportation 421 Air transportation 422 Pipe lines, except natural gas 432 Services incidental to transportation 440 Radio and television broadcasting 441 Telephone (wire and radio) 442 Telegraph and miscellaneous communication service 460 Electric light and power 461 Gas and steam supply systems 462 Electric and gas, and other combinations 470 Water supply and irrigation 471 Sanitary services 472 Not specified utilities 500 Motor vehicles and equipment 501 Furniture and home furnishings 502 Lumber and construction materials 510 Sporting goods, toys, and hobby goods 511 Metals and minerals, except petroleum 512 Electrical goods 521 Hardware, plumbing and heating supplies 522 Not specified electrical and hardware products 530 Machinery, equipment, and supplies 531 Scrap and waste materials 532 Miscellaneous wholesale, durable goods 540 Paper and paper products 541 Drugs, chemicals, and allied products 542 Apparel, fabrics, and notions 550 Groceries and related products 551 Farm products-raw materials 552 Petroleum products 560 Alcoholic beverages 561 Farm supplies 562 Miscellaneous wholesale, nondurable goods 571 Not specified wholesale trade 580 Lumber and building material retailing 581 Hardware stores 582 Retail nurseries and garden stores 590 Mobile home dealers 591 Department stores 592 Variety stores 600 Miscellaneous general merchandise stores 601 Grocery stores 602 Dairy products stores 610 Retail bakeries 611 Food stores, n.e.c. 612 Motor vehicle dealers 620 Auto and home supply stores 621 Gasoline service stations 622 Miscellaneous vehicle dealers 630 Apparel and accessory stores, except shoe 631 Shoe stores 632 Furniture and home furnishings stores 640 Household appliances, TV, and radio stores 641 Eating and drinking places 642 Drug stores 650 Liquor stores 651 Sporting goods, bicycles, and hobby stores 652 Book and stationery stores 660 Jewelry stores 661 Sewing, needlework, and piece goods stores 662 Mail order houses 670 Vending machine operators 671 Direct selling establishments 672 Fuel and ice dealers 681 Retail florists 682 Miscellaneous retail stores 691 Not specified retail trade 700 Banking 701 Savings and loan associations 702 Credit agencies, n.e.c. 710 Security, commodity brokerage, and investment companies 711 Insurance 712 Real estate, including real estate-insurance-law offices 721 Advertising 722 Services to dwellings and other buildings 730 Commercial research, development, and testing labs 731 Personnel supply services 732 Business management and consulting services 740 Computer and data processing services 741 Detective and protective services 742 Business services, n.e.c. 750 Automotive services, except repair 751 Automotive repair shops 752 Electrical repair shops 760 Miscellaneous repair services 761 Private households 762 Hotels and motels 770 Lodging places, except hotels and motels 771 Laundry, cleaning, and garment services 772 Beauty shops 780 Barber shops 781 Funeral service and crematories 782 Shoe repair shops 790 Dressmaking shops 791 Miscellaneous personal services 800 Theaters and motion pictures 801 Bowling alleys, billiard and pool parlors 802 Miscellaneous entertainment and recreation services 812 Offices of physicians 820 Offices of dentists 821 Offices of chiropractors 822 Offices of optometrists 830 Offices of health practitioners, n.e.c. 831 Hospitals 832 Nursing and personal care facilities 840 Health services, n.e.c. 841 Legal services 842 Elementary and secondary schools 850 Colleges and universities 851 Business, trade, and vocational schools 852 Libraries 860 Educational services, n.e.c. 861 Job training and vocational rehabilitation services 862 Child day care services 870 Residential care facilities, without nursing 871 Social services, n.e.c. 872 Museums, art galleries and zoos 880 Religious organizations 881 Membership organizations 882 Engineering, architectural, and surveying services 890 Accounting, auditing, and bookkeeping services 891 Noncommercial educational and scientific research 892 Miscellaneous professional and related services 900 Executive and legislative offices 901 General government, n.e.c. 910 Justice, public order, and safety 921 Public finance, taxation, and monetary policy 922 Administration of human resources programs 930 Administration of environmental quality and household programs 931 Administration of economic programs 932 National security and international affairs 998 DK 999 NA	1685
SBOCC10	Label: R sibling census occupation code (2010) Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0; 9998; 9999 Value Label 0 IAP 10 Chief executives 20 General and operations managers 30 Legislators 40 Advertising and promotions managers 50 Marketing and sales managers 60 Public relations and fundraising managers 100 Administrative services managers 110 Computer and information systems managers 120 Financial managers 135 Compensation and benefits managers 136 Human resources managers 137 Training and development managers 140 Industrial production managers 150 Purchasing managers 160 Transportation, storage, and distribution managers 205 Farmers, ranchers, and other agricultural managers 220 Construction managers 230 Education administrators 300 Architectural and engineering managers 310 Food service managers 325 Funeral service managers 330 Gaming managers 340 Lodging managers 350 Medical and health services managers 360 Natural sciences managers 400 Postmasters and mail superintendents 410 Property, real estate, and community association managers 420 Social and community service managers 425 Emergency management directors 430 Managers, all other 500 Agents and business managers of artists, performers, 510 Buyers and purchasing agents, farm products 520 Wholesale and retail buyers, except farm products 530 Purchasing agents, except wholesale, retail, and farm products 540 Claims adjusters, appraisers, examiners, and investigators 565 Compliance officers 600 Cost estimators 630 Human resources workers 640 Compensation, benefits, and job analysis specialists 650 Training and development specialists 700 Logisticians 710 Management analysts 725 Meeting, convention, and event planners 726 Fundraisers 735 Market research analysts and marketing specialists 740 Business operations specialists, all other 800 Accountants and auditors 810 Appraisers and assessors of real estate 820 Budget analysts 830 Credit analysts 840 Financial analysts 850 Personal financial advisors 860 Insurance underwriters 900 Financial examiners 910 Credit counselors and loan officers 930 Tax examiners and collectors, and revenue agents 940 Tax preparers 950 Financial specialists, all other 1005 Computer and information research scientists 1006 Computer systems analysts 1007 Information security analysts 1010 Computer programmers 1020 Software developers, applications and systems software 1030 Web developers 1050 Computer support specialists 1060 Database administrators 1105 Network and computer systems administrators 1106 Computer network architects 1107 Computer occupations, all other 1200 Actuaries 1210 Mathematicians 1220 Operations research analysts 1230 Statisticians 1240 Miscellaneous mathematical science occupations 1300 Architects, except naval 1310 Surveyors, cartographers, and photogrammetrists 1320 Aerospace engineers 1330 Agricultural engineers 1340 Biomedical engineers 1350 Chemical engineers 1360 Civil engineers 1400 Computer hardware engineers 1410 Electrical and electronics engineers 1420 Environmental engineers 1430 Industrial engineers, including health and safety 1440 Marine engineers and naval architects 1450 Materials engineers 1460 Mechanical engineers 1500 Mining and geological engineers, including mining safety engineers 1510 Nuclear engineers 1520 Petroleum engineers 1530 Engineers, all other 1540 Drafters 1550 Engineering technicians, except drafters 1560 Surveying and mapping technicians 1600 Agricultural and food scientists 1610 Biological scientists 1640 Conservation scientists and foresters 1650 Medical scientists 1660 Life scientists, all other 1700 Astronomers and physicists 1710 Atmospheric and space scientists 1720 Chemists and materials scientists 1740 Environmental scientists and geoscientists 1760 Physical scientists, all other 1800 Economists 1815 Survey researchers 1820 Psychologists 1830 Sociologists 1840 Urban and regional planners 1860 Miscellaneous social scientists and related workers 1900 Agricultural and food science technicians 1910 Biological technicians 1920 Chemical technicians 1930 Geological and petroleum technicians 1940 Nuclear technicians 1950 Social science research assistants 1965 Miscellaneous life, physical, and social science technicians 2000 Counselors 2010 Social workers 2015 Probation officers and correctional treatment specialists 2016 Social and human service assistants 2025 Miscellaneous community and social service specialists, 2040 Clergy 2050 Directors, religious activities and education 2060 Religious workers, all other 2100 Lawyers 2105 Judicial law clerks 2110 Judges, magistrates, and other judicial workers 2145 Paralegals and legal assistants 2160 Miscellaneous legal support workers 2200 Postsecondary teachers 2300 Preschool and kindergarten teachers 2310 Elementary and middle school teachers 2320 Secondary school teachers 2330 Special education teachers 2340 Other teachers and instructors 2400 Archivists, curators, and museum technicians 2430 Librarians 2440 Library technicians 2540 Teacher assistants 2550 Other education, training, and library workers 2600 Artists and related workers 2630 Designers 2700 Actors 2710 Producers and directors 2720 Athletes, coaches, umpires, and related workers 2740 Dancers and choreographers 2750 Musicians, singers, and related workers 2760 Entertainers and performers, sports and related workers, all other 2800 Announcers 2810 News analysts, reporters and correspondents 2825 Public relations specialists 2830 Editors 2840 Technical writers 2850 Writers and authors 2860 Miscellaneous media and communication workers 2900 Broadcast and sound engineering technicians and radio 2910 Photographers 2920 Television, video, and motion picture camera operators and 2960 Media and communication equipment workers, all other 3000 Chiropractors 3010 Dentists 3030 Dietitians and nutritionists 3040 Optometrists 3050 Pharmacists 3060 Physicians and surgeons 3110 Physician assistants 3120 Podiatrists 3140 Audiologists 3150 Occupational therapists 3160 Physical therapists 3200 Radiation therapists 3210 Recreational therapists 3220 Respiratory therapists 3230 Speech-language pathologists 3235 Exercise physiologists 3245 Therapists, all other 3250 Veterinarians 3255 Registered nurses 3256 Nurse anesthetists 3257 Nurse midwives 3258 Nurse practitioners 3260 Health diagnosing and treating practitioners, all other 3300 Clinical laboratory technologists and technicians 3310 Dental hygienists 3320 Diagnostic related technologists and technicians 3400 Emergency medical technicians and paramedics 3420 Health practitioner support technologists and technicians 3500 Licensed practical and licensed vocational nurses 3510 Medical records and health information technicians 3520 Opticians, dispensing 3535 Miscellaneous health technologists and technicians 3540 Other healthcare practitioners and technical occupations 3600 Nursing, psychiatric, and home health aides 3610 Occupational therapy assistants and aides 3620 Physical therapist assistants and aides 3630 Massage therapists 3640 Dental assistants 3645 Medical assistants 3646 Medical transcriptionists 3647 Pharmacy aides 3648 Veterinary assistants and laboratory animal caretakers 3649 Phlebotomists 3655 Miscellaneous healthcare support occupations, including medical equipment preparers 3700 First-line supervisors of correctional officers 3710 First-line supervisors of police and detectives 3720 First-line supervisors of fire fighting and prevention workers 3730 First-line supervisors of protective service workers, all other 3740 Firefighters 3750 Fire inspectors 3800 Bailiffs, correctional officers, and jailers 3820 Detectives and criminal investigators 3830 Fish and game wardens 3840 Parking enforcement workers 3850 Police and sheriff's patrol officers 3860 Transit and railroad police 3900 Animal control workers 3910 Private detectives and investigators 3930 Security guards and gaming surveillance officers 3940 Crossing guards 3945 Transportation security screeners 3955 Lifeguards and other recreational, and all other protective service workers 4000 Chefs and head cooks 4010 First-line supervisors of food preparation and serving workers 4020 Cooks 4030 Food preparation workers 4040 Bartenders 4050 Combined food preparation and serving workers, including fast food 4060 Counter attendants, cafeteria, food concession, and coffee shop 4110 Waiters and waitresses 4120 Food servers, nonrestaurant 4130 Dining room and cafeteria attendants and bartender helpers 4140 Dishwashers 4150 Hosts and hostesses, restaurant, lounge, and coffee shop 4160 Food preparation and serving related workers, all other 4200 First-line supervisors of housekeeping and janitorial workers 4210 First-line supervisors of landscaping, lawn service, and groundskeeping workers 4220 Janitors and building cleaners 4230 Maids and housekeeping cleaners 4240 Pest control workers 4250 Grounds maintenance workers 4300 First-line supervisors of gaming workers 4320 First-line supervisors of personal service workers 4340 Animal trainers 4350 Nonfarm animal caretakers 4400 Gaming services workers 4410 Motion picture projectionists 4420 Ushers, lobby attendants, and ticket takers 4430 Miscellaneous entertainment attendants and related workers 4460 Embalmers and funeral attendants 4465 Morticians, undertakers, and funeral directors 4500 Barbers 4510 Hairdressers, hairstylists, and cosmetologists 4520 Miscellaneous personal appearance workers 4530 Baggage porters, bellhops, and concierges 4540 Tour and travel guides 4600 Childcare workers 4610 Personal care aides 4620 Recreation and fitness workers 4640 Residential advisors 4650 Personal care and service workers, all other 4700 First-line supervisors of retail sales workers 4710 First-line supervisors of non-retail sales workers 4720 Cashiers 4740 Counter and rental clerks 4750 Parts salespersons 4760 Retail salespersons 4800 Advertising sales agents 4810 Insurance sales agents 4820 Securities, commodities, and financial services sales agents 4830 Travel agents 4840 Sales representatives, services, all other 4850 Sales representatives, wholesale and manufacturing 4900 Models, demonstrators, and product promoters 4920 Real estate brokers and sales agents 4930 Sales engineers 4940 Telemarketers 4950 Door-to-door sales workers, news and street vendors, and related workers 4965 Sales and related workers, all other 5000 First-line supervisors of office and administrative support workers 5010 Switchboard operators, including answering service 5020 Telephone operators 5030 Communications equipment operators, all other 5100 Bill and account collectors 5110 Billing and posting clerks 5120 Bookkeeping, accounting, and auditing clerks 5130 Gaming cage workers 5140 Payroll and timekeeping clerks 5150 Procurement clerks 5160 Tellers 5165 Financial clerks, all other 5200 Brokerage clerks 5210 Correspondence clerks 5220 Court, municipal, and license clerks 5230 Credit authorizers, checkers, and clerks 5240 Customer service representatives 5250 Eligibility interviewers, government programs 5260 File Clerks 5300 Hotel, motel, and resort desk clerks 5310 Interviewers, except eligibility and loan 5320 Library assistants, clerical 5330 Loan interviewers and clerks 5340 New accounts clerks 5350 Order clerks 5360 Human resources assistants, except payroll and timekeeping 5400 Receptionists and information clerks 5410 Reservation and transportation ticket agents and travel clerks 5420 Information and record clerks, all other 5500 Cargo and freight agents 5510 Couriers and messengers 5520 Dispatchers 5530 Meter readers, utilities 5540 Postal service clerks 5550 Postal service mail carriers 5560 Postal service mail sorters, processors, and processing machine operators 5600 Production, planning, and expediting clerks 5610 Shipping, receiving, and traffic clerks 5620 Stock clerks and order fillers 5630 Weighers, measurers, checkers, and samplers, recordkeeping 5700 Secretaries and administrative assistants 5800 Computer operators 5810 Data entry keyers 5820 Word processors and typists 5830 Desktop publishers 5840 Insurance claims and policy processing clerks 5850 Mail clerks and mail machine operators, except postal service 5860 Office clerks, general 5900 Office machine operators, except computer 5910 Proofreaders and copy markers 5920 Statistical assistants 5940 Office and administrative support workers, all other 6005 First-line supervisors of farming, fishing, and forestry workers 6010 Agricultural inspectors 6020 Animal breeders 6040 Graders and sorters, agricultural products 6050 Miscellaneous agricultural workers 6100 Fishers and related fishing workers 6110 Hunters and trappers 6120 Forest and conservation workers 6130 Logging workers 6200 First-line supervisors of construction trades and extraction workers 6210 Boilermakers 6220 Brickmasons, blockmasons, and stonemasons 6230 Carpenters 6240 Carpet, floor, and tile installers and finishers 6250 Cement masons, concrete finishers, and terrazzo workers 6260 Construction laborers 6300 Paving, surfacing, and tamping equipment operators 6310 Pile-driver operators 6320 Operating engineers and other construction equipment operators 6330 Drywall installers, ceiling tile installers, and tapers 6355 Electricians 6360 Glaziers 6400 Insulation workers 6420 Painters, construction and maintenance 6430 Paperhangers 6440 Pipelayers, plumbers, pipefitters, and steamfitters 6460 Plasterers and stucco masons 6500 Reinforcing iron and rebar workers 6515 Roofers 6520 Sheet metal workers 6530 Structural iron and steel workers 6540 Solar photovoltaic installers 6600 Helpers, construction trades 6660 Construction and building inspectors 6700 Elevator installers and repairers 6710 Fence erectors 6720 Hazardous materials removal workers 6730 Highway maintenance workers 6740 Rail-track laying and maintenance equipment operators 6750 Septic tank servicers and sewer pipe cleaners 6765 Miscellaneous construction and related workers 6800 Derrick, rotary drill, and service unit operators, oil, gas, and mining 6820 Earth drillers, except oil and gas 6830 Explosives workers, ordnance handling experts, and blasters 6840 Mining machine operators 6910 Roof bolters, mining 6920 Roustabouts, oil and gas 6930 Helpers?xtraction workers 6940 Other extraction workers 7000 First-line supervisors of mechanics, installers, and repairers 7010 Computer, automated teller, and office machine repairers 7020 Radio and telecommunications equipment installers and repairers 7030 Avionics technicians 7040 Electric motor, power tool, and related repairers 7050 Electrical and electronics installers and repairers, transportation 7100 Electrical and electronics repairers, industrial and utility 7110 Electronic equipment installers and repairers, motor vehicles 7120 Electronic home entertainment equipment installers and repairers 7130 Security and fire alarm systems installers 7140 Aircraft mechanics and service technicians 7150 Automotive body and related repairers 7160 Automotive glass installers and repairers 7200 Automotive service technicians and mechanics 7210 Bus and truck mechanics and diesel engine specialists 7220 Heavy vehicle and mobile equipment service technicians and mechanics 7240 Small engine mechanics 7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers 7300 Control and valve installers and repairers 7315 Heating, air conditioning, and refrigeration mechanics and installers 7320 Home appliance repairers 7330 Industrial and refractory machinery mechanics 7340 Maintenance and repair workers, general 7350 Maintenance workers, machinery 7360 Millwrights 7410 Electrical power-line installers and repairers 7420 Telecommunications line installers and repairers 7430 Precision instrument and equipment repairers 7440 Wind turbine service technicians 7510 Coin, vending, and amusement machine servicers and repairers 7520 Commercial divers 7540 Locksmiths and safe repairers 7550 Manufactured building and mobile home installers 7560 Riggers 7600 Signal and track switch repairers 7610 Helpers?nstallation, maintenance, and repair workers 7630 Other installation, maintenance, and repair workers 7700 First-line supervisors of production and operating workers 7710 Aircraft structure, surfaces, rigging, and systems assemblers 7720 Electrical, electronics, and electromechanical assemblers 7730 Engine and other machine assemblers 7740 Structural metal fabricators and fitters 7750 Miscellaneous assemblers and fabricators 7800 Bakers 7810 Butchers and other meat, poultry, and fish processing workers 7830 Food and tobacco roasting, baking, and drying machine operators and tenders 7840 Food batchmakers 7850 Food cooking machine operators and tenders 7855 Food processing workers, all other 7900 Computer control programmers and operators 7920 Extruding and drawing machine setters, operators, and tenders, metal and plastic 7930 Forging machine setters, operators, and tenders, metal and plastic 7940 Rolling machine setters, operators, and tenders, metal and plastic 7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 7960 Drilling and boring machine tool setters, operators, and tenders, metal and plastic 8000 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 8010 Lathe and turning machine tool setters, operators, and tenders, metal and plastic 8020 Milling and planing machine setters, operators, and tenders, metal and plastic 8030 Machinists 8040 Metal furnace operators, tenders, pourers, and casters 8060 Model makers and patternmakers, metal and plastic 8100 Molders and molding machine setters, operators, and tenders, metal and plastic 8120 Multiple machine tool setters, operators, and tenders, metal and plastic 8130 Tool and die makers 8140 Welding, soldering, and brazing workers 8150 Heat treating equipment setters, operators, and tenders, metal and plastic 8160 Layout workers, metal and plastic 8200 Plating and coating machine setters, operators, and tenders, metal and plastic 8210 Tool grinders, filers, and sharpeners 8220 Metal workers and plastic workers, all other 8250 Prepress technicians and workers 8255 Printing press operators 8256 Print binding and finishing workers 8300 Laundry and dry-cleaning workers 8310 Pressers, textile, garment, and related materials 8320 Sewing machine operators 8330 Shoe and leather workers and repairers 8340 Shoe machine operators and tenders 8350 Tailors, dressmakers, and sewers 8360 Textile bleaching and dyeing machine operators and tenders 8400 Textile cutting machine setters, operators, and tenders 8410 Textile knitting and weaving machine setters, operators, and tenders 8420 Textile winding, twisting, and drawing out machine setters, operators, and tenders 8430 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers 8440 Fabric and apparel patternmakers 8450 Upholsterers 8460 Textile, apparel, and furnishings workers, all other 8500 Cabinetmakers and bench carpenters 8510 Furniture finishers 8520 Model makers and patternmakers, wood 8530 Sawing machine setters, operators, and tenders, wood 8540 Woodworking machine setters, operators, and tenders, except sawing 8550 Woodworkers, all other 8600 Power plant operators, distributors, and dispatchers 8610 Stationary engineers and boiler operators 8620 Water and wastewater treatment plant and system operators 8630 Miscellaneous plant and system operators 8640 Chemical processing machine setters, operators, and tenders 8650 Crushing, grinding, polishing, mixing, and blending workers 8710 Cutting workers 8720 Extruding, forming, pressing, and compacting machine setters, 8730 operators, and tenders Furnace, kiln, oven, drier, and kettle operators and tenders 8740 Inspectors, testers, sorters, samplers, and weighers 8750 Jewelers and precious stone and metal workers 8760 Medical, dental, and ophthalmic laboratory technicians 8800 Packaging and filling machine operators and tenders 8810 Painting workers 8830 Photographic process workers and processing machine operators 8840 Semiconductor processors 8850 Adhesive bonding machine operators and tenders 8860 Cleaning, washing, and metal pickling equipment operators and tenders 8900 Cooling and freezing equipment operators and tenders 8910 Etchers and engravers 8920 Molders, shapers, and casters, except metal and plastic 8930 Paper goods machine setters, operators, and tenders 8940 Tire builders 8950 Helpers?roduction workers 8965 Production workers, all other 9000 Supervisors of transportation and material moving workers 9030 Aircraft pilots and flight engineers 9040 Air traffic controllers and airfield operations specialists 9050 Flight attendants 9110 Ambulance drivers and attendants, except emergency medical technicians 9120 Bus drivers 9130 Driver/sales workers and truck drivers 9140 Taxi drivers and chauffeurs 9150 Motor vehicle operators, all other 9200 Locomotive engineers and operators 9230 Railroad brake, signal, and switch operators 9240 Railroad conductors and yardmasters 9260 Subway, streetcar, and other rail transportation workers 9300 Sailors and marine oilers 9310 Ship and boat captains and operators 9330 Ship engineers 9340 Bridge and lock tenders 9350 Parking lot attendants 9360 Automotive and watercraft service attendants 9410 Transportation inspectors 9415 Transportation attendants, except flight attendants 9420 Other transportation workers 9500 Conveyor operators and tenders 9510 Crane and tower operators 9520 Dredge, excavating, and loading machine operators 9560 Hoist and winch operators 9600 Industrial truck and tractor operators 9610 Cleaners of vehicles and equipment 9620 Laborers and freight, stock, and material movers, hand 9630 Machine feeders and offbearers 9640 Packers and packagers, hand 9650 Pumping station operators 9720 Refuse and recyclable material collectors 9730 Mine shuttle car operators 9740 Tank car, truck, and ship loaders 9750 Material moving workers, all other 9800 Military officer special and tactical operations leaders 9810 First-line enlisted military supervisors 9820 Military enlisted tactical operations and air/weapons specialists and crew members 9830 Military, rank not specified 9997 Uncodeable 9998 DK 9999 NA	1686
SBOCCINDV	Label: Sibling's occ/ind verbatim retrieved Format: F8.0 Measure: Nominal Display Width: 11 Missing Values: -1 Value Label -1 IAP 0 No verbatims for sb 1 Verbatims for sb	1687
SBOCCSTATUS	Label: SBOCC10 coding status Format: F8.0 Measure: Nominal Display Width: 13 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned 8 Case not collected in 1994	1688
SBOCCTAG	Label: SBOCC10 coding tag Format: F8.0 Measure: Nominal Display Width: 10 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	1689
SBIND10	Label: R sibling industry code (2010) Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0; 9998; 9999 Value Label 0 IAP 170 Crop production 180 Animal production 190 Forestry, except logging 270 Logging 280 Fishing, hunting, and trapping 290 Support activities for agriculture and forestry 370 Oil and gas extraction 380 Coal mining 390 Metal ore mining 470 Nonmetallic mineral mining and quarrying 480 Not specified type of mining 490 Support activities for mining 570 Electric power generation, transmission, and distribution 580 Natural gas distribution 590 Electric and gas, and other combinations 670 Water, steam, air-conditioning, and irrigation systems 680 Sewage treatment facilities 690 Not specified utilities 770 Construction 1070 Animal food, grain, and oilseed milling 1080 Sugar and confectionery products 1090 Fruit and vegetable preserving and specialty food manufacturing 1170 Dairy product manufacturing 1180 Animal slaughtering and processing 1190 Retail bakeries 1270 Bakeries, except retail 1280 Seafood and other miscellaneous foods, n.e.c. 1290 Not specified food industries 1370 Beverage manufacturing 1390 Tobacco manufacturing 1470 Fiber, yarn, and thread mills 1480 Fabric mills, except knitting mills 1490 Textile and fabric finishing and coating mills 1570 Carpet and rug mills 1590 Textile product mills, except carpet and rug 1670 Knitting fabric mills, and apparel knitting mills 1680 Cut and sew apparel manufacturing 1690 Apparel accessories and other apparel manufacturing 1770 Footwear manufacturing 1790 Leather tanning and finishing and other allied products manufacturing 1870 Pulp, paper, and paperboard mills 1880 Paperboard containers and boxes 1890 Miscellaneous paper and pulp products 1990 Printing and related support activities 2070 Petroleum refining 2090 Miscellaneous petroleum and coal products 2170 Resin, synthetic rubber and fibers, and filaments manufacturing 2180 Agricultural chemical manufacturing 2190 Pharmaceutical and medicine manufacturing 2270 Paint, coating, and adhesive manufacturing 2280 Soap, cleaning compound, and cosmetics manufacturing 2290 Industrial and miscellaneous chemicals 2370 Plastics product manufacturing 2380 Tire manufacturing 2390 Rubber product, except tire, manufacturing 2470 Pottery, ceramics, and plumbing fixture manufacturing 2480 Structural clay product manufacturing 2490 Glass and glass product manufacturing 2570 Cement, concrete, lime, and gypsum product manufacturing 2590 Miscellaneous nonmetallic mineral product manufacturing 2670 Iron and steel mills and steel product manufacturing 2680 Aluminum production and processing 2690 Nonferrous metal (except aluminum) production and processing 2770 Foundries 2780 Metal forgings and stampings 2790 Cutlery and hand tool manufacturing 2870 Structural metals, and boiler, tank, and shipping container manufacturing 2880 Machine shops; turned product; screw, nut, and bolt manufacturing 2890 Coating, engraving, heat treating and allied activities 2970 Ordnance 2980 Miscellaneous fabricated metal products manufacturing 2990 Not specified metal industries 3070 Agricultural implement manufacturing 3080 Construction, and mining and oil and gas field machinery manufacturing 3090 Commercial and service industry machinery manufacturing 3170 Metalworking machinery manufacturing 3180 Engines, turbines, and power transmission equipment manufacturing 3190 Machinery manufacturing, n.e.c. 3290 Not specified machinery manufacturing 3360 Computer and peripheral equipment manufacturing 3370 Communications, and audio and video equipment manufacturing 3380 Navigational, measuring, electromedical, and control instruments manufacturing 3390 Electronic component and product manufacturing, n.e.c. 3470 Household appliance manufacturing 3490 Electrical lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c. 3570 Motor vehicles and motor vehicle equipment manufacturing 3580 Aircraft and parts manufacturing 3590 Aerospace product and parts manufacturing 3670 Railroad rolling stock manufacturing 3680 Ship and boat building 3690 Other transportation equipment manufacturing 3770 Sawmills and wood preservation 3780 Veneer, plywood, and engineered wood products 3790 Prefabricated wood buildings and mobile homes 3870 Miscellaneous wood products 3890 Furniture and related product manufacturing 3960 Medical equipment and supplies manufacturing 3970 Sporting and athletic goods, and doll, toy and game manufacturing 3980 Miscellaneous manufacturing, n.e.c. 3990 Not specified manufacturing industries 4070 Motor vehicles, parts and supplies, merchant wholesalers 4080 Furniture and home furnishing, merchant wholesalers 4090 Lumber and other construction materials, merchant wholesalers 4170 Professional and commercial equipment and supplies, merchant wholesalers 4180 Metals and minerals, except petroleum, merchant wholesalers 4190 Electrical and electronic goods, merchant wholesalers 4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers 4270 Machinery, equipment, and supplies, merchant wholesalers 4280 Recyclable material, merchant wholesalers 4290 Miscellaneous durable goods, merchant wholesalers 4370 Paper and paper products, merchant wholesalers 4380 Drugs, sundries, and chemical and allied products, merchant wholesalers 4390 Apparel, fabrics, and notions, merchant wholesalers 4470 Groceries and related products, merchant wholesalers 4480 Farm product raw materials, merchant wholesalers 4490 Petroleum and petroleum products, merchant wholesalers 4560 Alcoholic beverages, merchant wholesalers 4570 Farm supplies, merchant wholesalers 4580 Miscellaneous nondurable goods, merchant wholesalers 4585 Wholesale electronic markets, agents and brokers 4590 Not specified wholesale trade 4670 Automobile dealers 4680 Other motor vehicle dealers 4690 Auto parts, accessories, and tire stores 4770 Furniture and home furnishings stores 4780 Household appliance stores 4790 Radio, TV, and computer stores 4870 Building material and supplies dealers 4880 Hardware stores 4890 Lawn and garden equipment and supplies stores 4970 Grocery stores 4980 Specialty food stores 4990 Beer, wine, and liquor stores 5070 Pharmacies and drug stores 5080 Health and personal care, except drug, stores 5090 Gasoline stations 5170 Clothing stores 5180 Shoe stores 5190 Jewelry, luggage, and leather goods stores 5270 Sporting goods, camera, and hobby and toy stores 5280 Sewing, needlework, and piece goods stores 5290 Music stores 5370 Book stores and news dealers 5380 Department stores and discount stores 5390 Miscellaneous general merchandise stores 5470 Retail florists 5480 Office supplies and stationery stores 5490 Used merchandise stores 5570 Gift, novelty, and souvenir shops 5580 Miscellaneous retail stores 5590 Electronic shopping 5591 Electronic auctions 5592 Mail order houses 5670 Vending machine operators 5680 Fuel dealers 5690 Other direct selling establishments 5790 Not specified retail trade 6070 Air transportation 6080 Rail transportation 6090 Water transportation 6170 Truck transportation 6180 Bus service and urban transit 6190 Taxi and limousine service 6270 Pipeline transportation 6280 Scenic and sightseeing transportation 6290 Services incidental to transportation 6370 Postal Service 6380 Couriers and messengers 6390 Warehousing and storage 6470 Newspaper publishers 6480 Periodical, book, and directory publishers 6490 Software publishers 6570 Motion pictures and video industries 6590 Sound recording industries 6670 Radio and television broadcasting and cable subscription programming 6672 Internet publishing and broadcasting and web search portals 6680 Wired telecommunications carriers 6690 Other telecommunications services 6695 Data processing, hosting, and related services 6770 Libraries and archives 6780 Other information services 6870 Banking and related activities 6880 Savings institutions, including credit unions 6890 Non-depository credit and related activities 6970 Securities, commodities, funds, trusts, and other financial investments 6990 Insurance carriers and related activities 7070 Real estate 7080 Automotive equipment rental and leasing 7170 Video tape and disk rental 7180 Other consumer goods rental 7190 Commercial, industrial, and other intangible assets rental and leasing 7270 Legal services 7280 Accounting, tax preparation, bookkeeping, and payroll services 7290 Architectural, engineering, and related services 7370 Specialized design services 7380 Computer systems design and related services 7390 Management, scientific, and technical consulting services 7460 Scientific research and development services 7470 Advertising and related services 7480 Veterinary services 7490 Other professional, scientific, and technical services 7570 Management of companies and enterprises 7580 Employment services 7590 Business support services 7670 Travel arrangements and reservation services 7680 Investigation and security services 7690 Services to buildings and dwellings 7770 Landscaping services 7780 Other administrative and other support services 7790 Waste management and remediation services 7860 Elementary and secondary schools 7870 Colleges and universities, including junior colleges 7880 Business, technical, and trade schools and training 7890 Other schools and instruction, and educational support services 7970 Offices of physicians 7980 Offices of dentists 7990 Offices of chiropractors 8070 Offices of optometrists 8080 Offices of other health practitioners 8090 Outpatient care centers 8170 Home health care services 8180 Other health care services 8190 Hospitals 8270 Nursing care facilities 8290 Residential care facilities, without nursing 8370 Individual and family services 8380 Community food and housing, and emergency services 8390 Vocational rehabilitation services 8470 Child day care services 8560 Independent artists, performing arts, spectator sports, and related industries 8570 Museums, art galleries, historical sites, and similar institutions 8580 Bowling centers 8590 Other amusement, gambling, and recreation industries 8660 Traveler accommodation 8670 Recreational vehicle parks and camps, and rooming and boarding houses 8680 Restaurants and other food services 8690 Drinking places, alcoholic beverages 8770 Automotive repair and maintenance 8780 Car washes 8790 Electronic and precision equipment repair and maintenance 8870 Commercial and industrial machinery and equipment repair and maintenance 8880 Personal and household goods repair and maintenance 8890 Footwear and leather goods repair 8970 Barber shops 8980 Beauty salons 8990 Nail salons and other personal care services 9070 Drycleaning and laundry services 9080 Funeral homes, and cemeteries and crematories 9090 Other personal services 9160 Religious organizations 9170 Civic, social, advocacy organizations, and grantmaking and giving services 9180 Labor unions 9190 Business, professional, political, and similar organizations 9290 Private households 9370 Executive offices and legislative bodies 9380 Public finance activities 9390 Other general government and support 9470 Justice, public order, and safety activities 9480 Administration of human resource programs 9490 Administration of environmental quality and housing programs 9570 Administration of economic programs and space research 9590 National security and international affairs 9670 U.S. Army 9680 U.S. Air Force 9690 U.S. Navy 9770 U.S. Marine Corps 9780 U.S. Coast Guard 9790 U.S. Armed Forces/n.s. 9870 Active duty military personnel, all other 9997 Uncodeable 9998 DK 9999 NA	1690
SBINDSTATUS	Label: SBIND10 coding status Format: F8.0 Measure: Nominal Display Width: 13 Missing Values: -1 Value Label -1 IAP 1 Found, IAP 2 Found, No Answer 3 Found, Coded 4 Not Found, IAP 5 Not Found, No Answer 6 Not Found, Coded 7 Not Found, No Code Assigned 8 Case not collected in 1994	1691
SBINDTAG	Label: SBIND10 coding tag Format: F8.0 Measure: Nominal Display Width: 10 Missing Values: -1 Value Label -1 IAP 1 Found 2 Not Found, Assigned 3 Not Found, Not Assigned	1692
SBPRES10	Label: R sibling occupational prestige score (2010) Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0 Value Label 0 IAP,DK,NA	1693
SBPRES105PLUS	Label: R sibling occupational prestige score using threshold method (2010) Format: F8.0 Measure: Scale Display Width: 15 Missing Values: 0 Value Label 0 IAP,DK,NA	1694
ETHID	Label: R American vs ethnic identity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 JUST AN AMERICAN 2 SOME PART. ETHNIC GRP 3 2 OR MORE ETHNIC GRPS 4 AMER AND ETHNIC GRPS 5 IT DEPENDS 8 DK 9 NA	1695
AMISSUE	Label: Degree R invokes just American identity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL ISSUES 2 MOST ISSUES 3 SOME ISSUES 4 JUST A FEW ISSUES 8 DK 9 NA	1696
ETHISSUE	Label: Degree R invokes ethnic identity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL ISSUES 2 MOST ISSUES 3 SOME ISSUES 4 JUST A FEW ISSUES 8 DK 9 NA	1697
ETHID1	Label: R primary identity as ethnic or American Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 JUST AN AMERICAN 2 SOME PART. ETHNIC GRP 3 2 OR MORE ETHNIC GRPS 4 IT DEPENDS 8 DK 9 NA	1698
AMISSUE1	Label: Degree R invokes primary identity as American Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL ISSUES 2 MOST ISSUES 3 SOME ISSUES 4 JUST A FEW ISSUES 8 DK 9 NA	1699
ETHISSU1	Label: Degree R invokes primary identity as ethnic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL ISSUES 2 MOST ISSUES 3 SOME ISSUES 4 JUST A FEW ISSUES 8 DK 9 NA	1700
AMRANK	Label: American quality of life vs other indus. nations Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BETTER IN AMERICA 2 ABOUT THE SAME 3 BETTER IN OTH ADV CNTRY 8 DK 9 NA	1701
AMPROUD	Label: R pride in being American Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY PROUD 2 VERY PROUD 3 SOMEWHAT PROUD 4 NOT VERY PROUD 8 DK 9 NA	1702
MELTPOT	Label: R attitude toward mixing cultures in us Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MAINTAIN DISTINCT CULTURES 7 BLEND IN TO LARGER SOCIETY 8 DK 9 NA	1703
GVTAPART	Label: Should govt policy maintain distinct cultures Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVT TO HELP 2 LEFT UP TO GROUPS 8 DK 9 NA	1704
GVTMELT	Label: Should govt help blend cultures Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVT TO HELP 2 LEFT UP TO GROUPS 8 DK 9 NA	1705
ETHORGS	Label: Do ethnic orgs promote separatism Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	1706
ETHSPKOK	Label: Allow free speech offensive to ethnic groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	1707
ETHSPKNO	Label: Ban opinions harmful to other groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	1708
SYMPTBLK	Label: R feel sympathy towards blacks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 NOT TOO OFTEN 4 NEVER 8 DK 9 NA	1709
ADMIRBLK	Label: R express admiration for blacks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 NOT TOO OFTEN 4 NEVER 8 DK 9 NA	1710
BILINGED	Label: Support or oppose bilingual education Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FAVOR 2 SOMEWHAT FAVOR 3 SOMEWHAT OPPOSED 4 STRONGLY OPPOSED 8 DK 9 NA	1711
ENGTEACH	Label: Opinion on teaching classes only in English Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL CLASSES IN ENGLISH 2 1-2 YRS IN NATIVE LANG 3 NATIVE LANG THRU HS 8 DK 9 NA	1712
ENGBALLT	Label: Attitude toward printing ballots only in English Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONLY IN ENGLISH 2 IN OTHER LANGS 8 DK 9 NA	1713
ENGOFFCL	Label: Favor law making English the official language Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAVOR 3 NEITHER FAVOR NOR OPPOSE 5 OPPOSE 8 DK 9 NA	1714
LETIN	Label: Increase or decrease immigrants to us Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 INCREASED A LOT 2 INCREASED A LITTLE 3 SAME AS NOW 4 DECREASED A LITTLE 5 DECREASED A LOT 8 DK 9 NA	1715
HSPASN10	Label: Change in ethnic status in local community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LARGER SHARE 2 SAME SHARE 3 SMALLER SHARE 8 DK 9 NA	1716
IMMECON	Label: Will immigrants lead to economic growth Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT SO LIKELY 4 NOT AT ALL LIKELY 8 DK 9 NA	1717
IMMUNEMP	Label: Will immigrants fuel unemployment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT SO LIKELY 4 NOT AT ALL LIKELY 8 DK 9 NA	1718
IMMUNITE	Label: Will immigrants affect national unity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT SO LIKELY 4 NOT AT ALL LIKELY 8 DK 9 NA	1719
IMMFARE	Label: Immigrants eligible for govt assistance? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ELIGIBLE 2 NOT ELIGIBLE 8 DK 9 NA	1720
UNDOCWRK	Label: Should illegal immigrants get work permits? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, ENTITLED 2 NO, NOT ENTITLED 8 DK 9 NA	1721
UNDOCCOL	Label: Illegal immigrants access to public univeR'sities? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, ENTITLED 2 NO, NOT ENTITLED 8 DK 9 NA	1722
UNDOCKID	Label: Us citizenship for children of illegal immigrants Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, QUALIFY 2 NO, NOT QUALIFY 8 DK 9 NA	1723
IMMPUSH	Label: Are immigrants demanding too many rights? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	1724
IMMWRKUP	Label: Should immigrants overcome bias without help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	1725
COLAFF	Label: Chance blacks get to college ahead of whites Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT LIKELY 8 DK 9 NA	1726
COLAFFY	Label: Chance whites excluded from college over blacks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT LIKELY 8 DK 9 NA	1727
DISCAFFY	Label: Chance blacks promoted ahead of whites Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT LIKELY 8 DK 9 NA	1728
JOBAFF	Label: Favor preferences in hiring blacks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FOR PREF 2 FOR PREFERENCE 3 AGAINST PREFERENCE 4 STRONGLY AGAINST PREF 8 DK 9 NA	1729
OWNETH	Label: Do ethic politicians serve ethnic groups better Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LEADERS FROM OWN BACKGROUND 2 LEADERS BACKGROUND NO MATTER 8 DK 9 NA	1730
CONGETH	Label: Should ethnic congressmen represent ethnic groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CONSIDER ETHNIC BACKGROUND 2 ABILITY, NOT BACKGROUND 8 DK 9 NA	1731
TEACHETH	Label: Ethnicity of college faculty reflect students Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CONSIDER ETHNIC BACKGROUND 2 ABILITY, NOT BACKGROUND 8 DK 9 NA	1732
SCHLETH	Label: Ethnicity or professional schools mirror students Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CONSIDER ETHNIC BACKGROUND 2 ABILITY, NOT BACKGROUND 8 DK 9 NA	1733
ETHHIST	Label: Minority history adequately taught in school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH ATTENTION NOW 2 TOO LITTLE ATTENTION 3 ABOUT THE RIGHT AMOUNT 8 DK 9 NA	1734
WHOTEACH	Label: Should only minorities teach minority history Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	1735
WHTGOVT	Label: Do whites get proper govt attention Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH MORE 2 MORE 3 ABOUT RIGHT 4 LESS 5 MUCH LESS 8 DK 9 NA	1736
BLKGOVT	Label: Do blacks get proper govt attention Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH MORE 2 MORE 3 ABOUT RIGHT 4 LESS 5 MUCH LESS 8 DK 9 NA	1737
HSPGOVT	Label: Do Hispanic-Americans get proper govt attention Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH MORE 2 MORE 3 ABOUT RIGHT 4 LESS 5 MUCH LESS 8 DK 9 NA	1738
ASNGOVT	Label: Do Asian-Americans get proper govt attention Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH MORE 2 MORE 3 ABOUT RIGHT 4 LESS 5 MUCH LESS 8 DK 9 NA	1739
WLTHIMM	Label: Are legal immigrants rich or poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 RICH 7 POOR 8 DK 9 NA	1740
WLTHUNDC	Label: Are illegal immigrants rich or poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 RICH 7 POOR 8 DK 9 NA	1741
WORKIMM	Label: Are legal immigrants hard working Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HARD-WORKING 7 LAZY 8 DK 9 NA	1742
WORKUNDC	Label: Are illegal immigrants hard working Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HARD-WORKING 7 LAZY 8 DK 9 NA	1743
OBRESPCT	Label: Teach children respect for authority and obedience Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	1744
ECONPAST	Label: Has national economy improved last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOTTEN BETTER 2 STAYED THE SAME 3 GOTTEN WORSE 8 DK 9 NA	1745
PASTUP	Label: Degree of improvement in national economy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 SOMEWHAT BETTER 8 DK 9 NA	1746
PASTDOWN	Label: Degree national economy has gotten worse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH WORSE 2 SOMEWHAT WORSE 8 DK 9 NA	1747
ECONFUTR	Label: Predictions for national economy in next year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GET BETTER 2 STAY THE SAME 3 GET WORSE 8 DK 9 NA	1748
FUTRUP	Label: Degree economy will improve in next year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 SOMEWHAT BETTER 8 DK 9 NA	1749
FUTRDOWN	Label: Degree economy will get worse over next year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH WORSE 2 SOMEWHAT WORSE 8 DK 9 NA	1750
RDISCAFF	Label: Chances family member not promoted for other race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 VERY UNLIKELY 8 DK 9 NA	1751
RIMMDISC	Label: Chances illegal immigrants favored over family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 VERY UNLIKELY 8 DK 9 NA	1752
ROMANCE	Label: Do you have a main romantic involvement Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 HAS SAME GENDER PARTNER 8 DK 9 NA	1753
LIVEWITH	Label: Do you live together? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 HAS SAME GENDER PARTNER 8 DK 9 NA	1754
HAPROM	Label: Describe your romantic relationship? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY HAPPY 2 PRETTY HAPPY 3 NOT TOO HAPPY 8 DONT KNOW 9 NA	1755
WILLWED1	Label: How likely you two will get married? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 VERY UNLIKELY 8 DK 9 NA	1756
WILLWED2	Label: If right person would you marry? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 HAS SAME GENDER PARTNER 8 DK 9 NA	1757
HAPGIRLS	Label: Girls' chances for a happy family life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BETTER 2 ABOUT THE SAME 3 WORSE 8 DONT KNOW 9 NA	1758
HAPBOYS	Label: Boys' chances for a happy family life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BETTER 2 ABOUT THE SAME 3 WORSE 8 DONT KNOW 9 NA	1759
FEJOBAFF	Label: For or against preferential hiring of women Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY FOR 2 FOR 3 AGAINST 4 STRONGLY AGAINST 8 DK 9 NA	1760
TRADMOD	Label: Man alone-both responsible for providing income Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MAN ALONE RESPONSIBLE 2 BOTH RESPONSIBLE 8 DK 9 NA	1761
SHARESEP	Label: Man and woman do things together-separate Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MAN WOMAN DO THINGS TOGETHER 2 MAN WOMAN DO THINGS SEPARATE 8 DK 9 NA	1762
EMOTEOTH	Label: Man and woman emotionally dependent-independent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MAN WOMAN EMOTIONALLY DEPENDENT 2 MAN WOMAN EMOTIONALLY INDEPENDENT 8 DK 9 NA	1763
RHMEWRK	Label: How much housework R does Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL 2 MOST 3 ABOUT HALF 4 SOME 5 VERY LITTLE OR NONE 6 NOT MARRIED-LIVING WITH PARTNER 8 DK 9 NA	1764
SPHMEWRK	Label: How much housework r's spouse does Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL 2 MOST 3 ABOUT HALF 4 SOME 5 VERY LITTLE OR NONE 6 NOT MARRIED-LIVING WITH PARTNER 8 DK 9 NA	1765
FAIRHWRK	Label: Division of work unfair to you or spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAIR TO BOTH 2 UNFAIR TO ME 3 UNFAIR TO MY SPOUSE OR PARTNER 8 DONT KNOW 9 NA	1766
EARNMORE	Label: Who earns more money? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I EARN MUCH MORE THAN MY SPOUSE 2 I EARN SOMEWHAT MORE THAN MY SPOUSE 3 WE EARN ABOUT THE SAME AMOUNT 4 MY SPOUSER-PARTNER EARNS SOMEWHAT MORE 5 MY SPOUSE-PARTNER EARNS MUCH MORE 8 DK 9 NA	1767
FAMLIFE	Label: How successful in family life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL SUCCESSFUL 2 NOT VERY SUCCESSFUL 3 SOMEWHAT SUCCESSFUL 4 VERY SUCCESSFUL 5 COMPLETELY SUCCESSFUL 8 DONT KNOW 9 NA	1768
WORKLIFE	Label: How successful in work life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL SUCCESSFUL 2 NOT VERY SUCCESSFUL 3 SOMEWHAT SUCCESSFUL 4 VERY SUCCESSFUL 5 COMPLETELY SUCCESSFUL 8 DONT KNOW 9 NA	1769
BALWKFAM	Label: How successful balancing work & family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL SUCCESSFUL 2 NOT VERY SUCCESSFUL 3 SOMEWHAT SUCCESSFUL 4 VERY SUCCESSFUL 5 COMPLETELY SUCCESSFUL 8 DONT KNOW 9 NA	1770
REFPROMO	Label: Refuse a job promotion? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1771
REFMORWK	Label: Take on additional paid work? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1772
REFXHOUR	Label: Refuse to work overtime or extra hours? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1773
WORKLESS	Label: Cut back on your work? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1774
NOATHOME	Label: Miss a family occasion or holiday? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1775
NONURSE	Label: Unable to care for a sick child-relative? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1776
NOHMEWRK	Label: Unable to do the work around the house? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1777
DISCAFFM	Label: A man won't get a job or promotion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 VERY UNLIKELY 8 DONT KNOW 9 NA	1778
DISCAFFW	Label: A woman won't get a job or promotion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 VERY UNLIKELY 8 DONT KNOW 9 NA	1779
FLEXTIME	Label: Allow workers more flexible hours Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, SHOULD OFFER THIS OPTION 2 NO, SHOULD NOT OFFER THIS OPTION 8 DONT KNOW 9 NA	1780
PARLEAVE	Label: Offer paid time off to new parents. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, SHOULD OFFER THIS OPTION 2 NO, SHOULD NOT OFFER THIS OPTION 8 DONT KNOW 9 NA	1781
MENBEN	Label: Men benefit from traditional family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1782
WOMENBEN	Label: Women benefit from traditional family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1783
CHLDBEN	Label: Children benefit from traditional family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1784
ALLBEN	Label: Everyone benefit from traditional family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1785
NOONEBEN	Label: No one benefit from traditional family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1786
MENHRT	Label: Men hurt from traditional family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1787
WOMENHRT	Label: Women hurt from traditional family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1788
CHLDHRT	Label: Children hurt from traditional family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1789
ALLHRT	Label: Everyone hurt from traditional family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1790
NOONEHRT	Label: No one hurt from traditional family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1791
FELESS1	Label: How important men work harder explain Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA	1792
FELESS2	Label: How important women's family responsibilities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA	1793
FELESS3	Label: How important give men better paying jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA	1794
FEKIDS1	Label: How important women biologically better-suited Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA	1795
FEKIDS2	Label: How important women are taught from childhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA	1796
FEKIDS3	Label: How important the way society is set up Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA	1797
FEKIDS4	Label: How important men have more freedom Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA	1798
FEKIDS5	Label: How important it is god's will Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA	1799
MEBEAR	Label: Can husband refuse to sire children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1800
FEHIRE	Label: Should hire and promote women Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1801
FEMINIST	Label: Think yourself as a feminist? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, A FEMINIST 2 NO, NOT A FEMINIST 8 DONT KNOW 9 NA	1802
FENEWS	Label: How often pay attention to women issues Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 NOT TOO OFTEN 4 NEVER 8 DK 9 NA	1803
HMEMAKER	Label: Full-time homemakeR's lives improved Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IMPROVED THEIR LIFE 2 MADE THEIR LIFE WORSE 3 HAD NO EFFECT ON THEIR LIFE 8 DONT KNOW 9 NA	1804
WRKCLASS	Label: Working-class women's lives improved Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IMPROVED THEIR LIFE 2 MADE THEIR LIFE WORSE 3 HAD NO EFFECT ON THEIR LIFE 8 DONT KNOW 9 NA	1805
MANPROF	Label: Professional women's lives improved Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IMPROVED THEIR LIFE 2 MADE THEIR LIFE WORSE 3 HAD NO EFFECT ON THEIR LIFE 8 DONT KNOW 9 NA	1806
MEN	Label: Men's lives improved Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IMPROVED THEIR LIFE 2 MADE THEIR LIFE WORSE 3 HAD NO EFFECT ON THEIR LIFE 8 DONT KNOW 9 NA	1807
CHILDREN	Label: Children's lives improved Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IMPROVED THEIR LIFE 2 MADE THEIR LIFE WORSE 3 HAD NO EFFECT ON THEIR LIFE 8 DONT KNOW 9 NA	1808
YOURSELF	Label: R's life improved Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IMPROVED MY LIFE 2 MADE MY LIFE WORSE 3 HAD NO EFFECT ON MY LIFE 8 DONT KNOW 9 NA	1809
SHAKEBLU	Label: Felt that couldn't shake the blues? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1810
CALM	Label: Felt calm? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1811
OUTRAGED	Label: Felt outraged at something somebody Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1812
HAPFEEL	Label: Felt happy? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1813
SAD	Label: Felt sad? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1814
ASHAMED	Label: Felt ashamed of something you'd done? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1815
EXCITED	Label: Felt excited or interested in something? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1816
LONELY	Label: Felt lonely? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1817
FEARFUL	Label: Felt fearful about something Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1818
OVRJOYED	Label: Felt overjoyed about something? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1819
WORRIED	Label: Felt worried? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1820
CONTENTD	Label: Felt contented? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1821
ANXIOUS	Label: Felt anxious and tense? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1822
RESTLESS	Label: Felt restless? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1823
MADAT	Label: Felt mad at something or someone? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1824
ATEASE	Label: Felt at ease? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1825
ANGRY	Label: Felt angry at someone? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1826
EMBARRSS	Label: Felt embarrassed about something? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1827
PROUD	Label: Felt proud of something you'd done? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	1828
NOPLAN	Label: There's no sense planning a lot Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE OR DISAGREE-IT DEPENDS 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1829
BADBRKS	Label: Most of my problems are due to bad breaks. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE OR DISAGREE-IT DEPENDS 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1830
MOSTLUCK	Label: Good things are mostly luck. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE OR DISAGREE-IT DEPENDS 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1831
LITCNTRL	Label: I have little control over the bad things Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE OR DISAGREE-IT DEPENDS 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1832
SHOWANGR	Label: When i'm angry i let people know. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE OR DISAGREE-IT DEPENDS 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1833
SHOWFEEL	Label: I'm not afraid to show my feelings. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE OR DISAGREE-IT DEPENDS 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1834
NOEMOTE	Label: I keep my emotions to myself. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE OR DISAGREE-IT DEPENDS 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1835
NOTUPSET	Label: Don't tell friends something upsetting Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE OR DISAGREE-IT DEPENDS 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1836
BEPLESNT	Label: I try to be pleasant so not to upset oth. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE OR DISAGREE-IT DEPENDS 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1837
NOTWORRY	Label: When anxious, try not to worry anyone else. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE OR DISAGREE-IT DEPENDS 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1838
ANGRYWRK	Label: Last time R felt really angry Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1839
ANGRYFAM	Label: Last time R felt really angry Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1840
ANGRYGVT	Label: Last time R felt really angry Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1841
ANGRYWHY	Label: Last time R felt really angry Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	1842
ANGRYEV	Label: Was an event recalled? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	1843
WHNANGRY	Label: How long ago did this event happen? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TODAY 2 YESTERDAY 3 UP TO A WEEK AGO 4 UP TO A MONTH AGO 5 MONTHS AGO 8 DONT KNOW 9 NA	1844
MADAT1	Label: Angry at my husband-wife etc Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1845
MADAT2	Label: Angry at son Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1846
MADAT3	Label: Angry at daughter Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1847
MADAT4	Label: Angry at mother Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1848
MADAT5	Label: Angry at father Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1849
MADAT6	Label: Angry at sister Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1850
MADAT7	Label: Angry at brother Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1851
MADAT8	Label: Angry at another family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1852
MADAT9	Label: Angry at a friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1853
MADAT10	Label: Angry at an acquaintance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1854
MADAT11	Label: Angry at a neighbor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1855
MADAT12	Label: Angry at my boss Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1856
MADAT13	Label: Angry at a co-worker Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1857
MADAT14	Label: Angry at subordinate Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1858
MADAT15	Label: Angry at a customer or client Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1859
MADAT16	Label: Angry at someone else at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1860
MADAT17	Label: Angry at government employee Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1861
MADAT18	Label: Angry at someone to provide a service Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1862
MADAT19	Label: Angry at public figure Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1863
MADAT20	Label: Angry at stranger (include crowds) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1864
MADAT21	Label: Angry at self Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1865
MADAT22	Label: Angry at an object, circumstances, etc Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1866
MADAT23	Label: Angry at other Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 EX-SPOUSE 2 OTHER EX-FAMILY 3 HEALTH CARE PERSONNEL 4 TEACHER 5 LANDLORD 6 COMPANY 7 CRIMINAL 8 OTHER 9 NA	1867
HOWANGRY	Label: How intense would you say your anger was Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 WEAKEST 10 MOST INTENSE 98 DK 99 NA	1868
ANGRLAST	Label: How long did your anger last? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SECONDS 2 MINUTES 3 HOURS 4 ALL THAT DAY 5 SEVERAL DAYS, OR 6 FELT CONTINUOUSLY 9 NA	1869
THNKANGR	Label: How often thought about this situation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY OFTEN 2 EVERY ONCE IN A WHILE 3 JUST ONCE OR TWICE 4 NEVER-NOT ONCE UNTIL NOW 8 DK 9 NA	1870
CHNANG1	Label: Think about the situation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1871
CHNANG2	Label: Had a drink or took a pill Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1872
CHNANG3	Label: Talked to the person i was angry at Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1873
CHNANG4	Label: Talked to someone else Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1874
CHNANG5	Label: Tried to forget it Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1875
CHNANG6	Label: Tried to change the situation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1876
CHNANG7	Label: Prayed for help from god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1877
CHNANG8	Label: Fantasized about a magical solution Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1878
CHNANG9	Label: Went out to get some exercise Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1879
CHNANG10	Label: Yelled or hit something Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1880
CHNANG11	Label: Waited for feelings to pass Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1881
CHNANG12	Label: Tried to accept the situation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1882
CHNANG13	Label: Left the situation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1883
CHNANG14	Label: Thought about how to get revenge Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1884
CHNANG15	Label: Planned how to end the relationship Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1885
CHNANG16	Label: Other (specify) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID 2 DIDNT 8 DK 9 NA	1886
REACTOK	Label: Did R feel reaction was appropriate Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 COMPLETELY RIGHT 10 COMPLETELY WRONG 98 DK 99 NA	1887
OTHRESP	Label: How reSP. person who you were angry at? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 NOT AT ALL RESPONSIBLE 10 COMPLETELY RESPONSIBLE 98 DK 99 NA	1888
SELFRESP	Label: How reSP. do you feel for the situation? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 NOT AT ALL RESPONSIBLE 10 COMPLETELY RESPONSIBLE 98 DK 99 NA	1889
LIKEOTH	Label: How much do you like or dislike the person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIKE HIM-HER-THEM A GREAT DEAL 2 LIKE HIM-HER-THEM A LITTLE 3 FEEL NEUTRAL TOWARD HIM-HER-THEM 4 DISLIKE HIM OR HER-THEM A LITTLE 5 DISLIKE HIM OR HER-THEM A LOT 6 IF VOLUNTEERED - LOVE 7 IF VOLUNTEERED - DONT KNOW 8 DK 9 NA	1890
AMIMP	Label: How important is being an American to you Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 NOT AT ALL 10 MOST 98 DK 99 NA	1891
NOTAM	Label: If not American, how much change Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETELY DIFFERENT 2 QUITE DIFFERENT 3 SOMEWHAT DIFFERENT 4 JUST SLIGHTLY DIFFERENT 5 NOT AT ALL DIFFERENT 7 CITIZEN OF ANOTHER COUNTRY 8 DONT KNOW 9 NO ANSWER	1892
USWORRY	Label: How often do you feel worried for us? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS 2 MOST OF THE TIME 3 SOME OF THE TIME 4 RARELY 5 NEVER 8 DONT KNOW 9 NO ANSWER	1893
USSAT	Label: Thinking us how often feel satisfied Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS 2 MOST OF THE TIME 3 SOME OF THE TIME 4 RARELY 5 NEVER 8 DONT KNOW 9 NO ANSWER	1894
USFRUSTR	Label: Thinking us how often feel frustrated? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS 2 MOST OF THE TIME 3 SOME OF THE TIME 4 RARELY 5 NEVER 8 DONT KNOW 9 NO ANSWER	1895
USENTHUS	Label: Thinking us how often feel enthusiastic? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS 2 MOST OF THE TIME 3 SOME OF THE TIME 4 RARELY 5 NEVER 8 DONT KNOW 9 NO ANSWER	1896
USANGRY	Label: Thinking us how often feel angry Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS 2 MOST OF THE TIME 3 SOME OF THE TIME 4 RARELY 5 NEVER 8 DONT KNOW 9 NO ANSWER	1897
USHOPEFL	Label: Thinking us how often feel hopeful? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS 2 MOST OF THE TIME 3 SOME OF THE TIME 4 RARELY 5 NEVER 8 DONT KNOW 9 NO ANSWER	1898
USUPSET	Label: Thinking us how often feel upset? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS 2 MOST OF THE TIME 3 SOME OF THE TIME 4 RARELY 5 NEVER 8 DONT KNOW 9 NO ANSWER	1899
CARPRIVT	Label: Have you purchased a used car past 5 yrs? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1900
RELPRIVT	Label: Relationship to the seller of the vehicle Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A RELATIVE,INCLUDING IN-LAWS 2 A FRIEND OR ACQUAINTANCE 3 A FRIEND OF A FRIEND-RELATIVE 4 PREVIOUS BUSINESS DEALINGS 5 NO PRIOR RELATIONSHIP 8 DK 9 NA	1901
WARRNTYC	Label: Did the seller provide a warranty? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES -- INFORMAL ASSURANCE 2 YES -- WRITTEN GUARANTEE 3 NO 8 DONT KNOW 9 NA	1902
CARDEALR	Label: Purchased a car from a dealership past 5 yrs? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1903
NEWUSED	Label: Was the car new or used? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEW 2 USED 9 NA	1904
TYPDEALR	Label: Rwas the agency a new or used car dealeR'ship? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEW CAR DEALERSHIP 2 USED CAR DEALERSHIP 9 NA	1905
CARBUYA	Label: R's own previous knowledge made R buy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1906
CARBUYB	Label: A friend or relative recommended R buy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1907
CARBUYC	Label: An acquaintance recommended R buy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1908
CARBUYD	Label: General reputation made R buy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1909
CARBUYE	Label: R saw their advertisement Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1910
CARBUYF	Label: R searched for the best price Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1911
CARBUYG	Label: Convenience made R buy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1912
CARBUY1	Label: What was the most important reason? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 9 NA	1913
RELDEALR	Label: R relationship to the salesperson Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A RELATIVE , INCLUDING IN-LAWS 2 A FRIEND OR ACQUAINTANCE 3 A FRIEND OF A FRIEND-RELATIVE 4 PREVIOUS BUSINESS DEALINGS 5 NO PRIOR RELATIONSHIP 8 DK 9 NA	1914
SATCAR	Label: How satisfied are you with your purchase? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT TOO SATISFIED 2 PRETTY SATISFIED 3 EXTREMELY SATISFIED 8 DK 9 NA	1915
EVBUYHME	Label: Have you ever purchased a home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1916
HOMEYEAR	Label: Rmost recent home you have purchased. Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	1917
LEARNHME	Label: How learned the availability of the home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FROM A RELATIVE, INCLUDING IN-LAWS 2 A FRIEND OR ACQUAINTANCE 3 A FRIEND OF A FRIEND OR RELATIVE, ETC 4 FROM AN ADVERTISEMENT OR SIGN 5 FROM A REAL ESTATE AGENT 6 I BUILT IT MYSELF 8 DK 9 NA	1918
NEWOWNED	Label: Was the home new or previously owned? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEW 2 PREVIOUSLY OWNED 9 NA	1919
RELHOME	Label: Relationship to the previous owner of the home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A RELATIVE INCLUDING IN-LAWS 2 A FRIEND OR ACQUAINTANCE 3 A FRIEND OF A FRIEND-RELATIVE 4 HAD PREVIOUS BUSINESS DEALINGS 5 NO PRIOR RELATIONSHIP 8 DK 9 NA	1920
WHOSOLD	Label: Describe your purchase Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DIRECTLY FROM BUILDER 2 DIRECTLY FROM PREVIOUS OWNER 3 THROUGH A REAL ESTATE AGENT 4 OTHER 9 NA	1921
REALTORA	Label: R's own previous knowledge made R choose Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1922
REALTORB	Label: A friend-relative recommended R choose Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1923
REALTORC	Label: An acquaintance recommended R choose Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1924
REALTORD	Label: General reputation made R choose Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1925
REALTORE	Label: I saw their advertisement made R choose Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1926
REALTORF	Label: Convenience made R choose the realtor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1927
REALTOR1	Label: What was the most important reason? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 9 NA	1928
RELAGENT	Label: Your relationship to the real estate agent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A RELATIVE INCLUDING IN-LAWS 2 A FRIEND OR ACQUAINTANCE 3 A FRIEND OF A FRIEND-RELATIVE 4 HAD PREVIOUS BUSINESS DEALINGS 5 NO PRIOR RELATIONSHIP 8 DK 9 NA	1929
WARRNTYH	Label: Did the seller provide any warranty Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES -- INFORMAL ASSURANCE 2 YES -- WRITTEN GUARANTEE 3 NO 8 DONT KNOW 9 NA	1930
SATHOME	Label: How satisfied with your purchase Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT TOO SATISFIED 2 PRETTY SATISFIED 3 EXTREMELY SATISFIED 8 DK 9 NA	1931
LAWYER	Label: Hired a lawyer in the past 10 yrs? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1932
LAWYERA	Label: My own previous knowledge of the firm Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1933
LAWYERB	Label: A friend or relative recommended them Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1934
LAWYERC	Label: An acquaintance recommended them. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1935
LAWYERD	Label: General reputation in the community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1936
LAWYERE	Label: I saw their advertisement Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1937
LAWYERF	Label: I searched for the best price. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1938
LAWYERG	Label: Convenience Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1939
LAWYER1	Label: What was the most important reason? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 8 DK 9 NA	1940
RELLAW	Label: Relationship to the attorney Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A RELATIVE INCLUDING IN-LAWS 2 A FRIEND OR ACQUAINTANCE 3 A FRIEND OF A FRIEND OR RELATIVE ETC 4 PREVIOUS BUSINESS DEALINGS 5 NO PRIOR RELATIONSHIP 8 DK 9 NA	1941
SATLAWYR	Label: How satisfied with the legal services Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT TOO SATISFIED 2 PRETTY SATISFIED 3 EXTREMELY SATISFIED 8 DK 9 NA	1942
FIXHOME	Label: Home maintenance services past 10 years? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1943
FIXERA	Label: My own previous knowledge of the firm Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1944
FIXERB	Label: A friend or relative recommended them Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1945
FIXERC	Label: An acquaintance recommended them. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1946
FIXERD	Label: General reputation in the community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1947
FIXERE	Label: I saw their advertisement Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1948
FIXERF	Label: I searched for the best price Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1949
FIXER1	Label: What was the most important reason? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 8 DK 9 NA	1950
RELFIXER	Label: Relationship to the person who did the work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A RELATIVE INCLUDING IN-LAWS 2 A FRIEND OR ACQUAINTANCE 3 A FRIEND OF A FRIEND-RELATIVE, ETC 4 PREVIOUS BUSINESS DEALINGS 5 NO PRIOR RELATIONSHIP 8 DK 9 NA	1951
SATFIXES	Label: How satisfied were you with the work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT TOO SATISFIED 2 PRETTY SATISFIED 3 EXTREMELY SATISFIED 8 DK 9 NA	1952
BORROWED	Label: Have you borrowed $100+ from another person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1953
WHOLOAND	Label: From whom did you borrow this money? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PARENTS OR GRANDPARENTS 2 CHILDREN 3 OTHER RELATIVE 4 FRIEND 5 CO-WORKER OR BUS. ASSOCIATE 6 OTHER-SPECIFY 8 DK 9 NA	1954
SELLBED	Label: Would you rather sell bedroom furniture Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG PREFERENCE NO CONTACT 3 DONT CARE 5 STRONG PREFERENCE CONTACT 8 DK 9 NA	1955
SELLAUTO	Label: O would you rather sell an automobile Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG PREFERENCE NO CONTACT 3 DONT CARE 5 STRONG PREFERENCE CONTACT 8 DK 9 NA	1956
SELLHOME	Label: E would you rather sell a house-condominium Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG PREFERENCE NO CONTACT 3 DONT CARE 5 STRONG PREFERENCE CONTACT 8 DK 9 NA	1957
TRANSOTH	Label: Hwould you be to mention problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY WOULD NOT MENTION IT 2 PROBABLY WOULD NOT 3 PROBABLY WOULD 4 DEFINITELY WOULD MENTION IT 8 DONT KNOW 9 NA	1958
LOANED	Label: Loaned $100+ past 12 months? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1959
LOANEDTO	Label: Oto whom did you lend this money? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PARENTS OF GRANDPARENTS 2 CHILDREN 3 OTHER RELATIVE 4 FRIEND 5 CO-WORKER OR BUS. ASSOCIATE 6 OTHER SPECIFY 8 DK 9 NA	1960
BUYBED	Label: Would you buy furniture from a business Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG PREFERENCE NO CONTACT 3 DONT CARE 5 STRONG PREFERENCE CONTACT 8 DK 9 NA	1961
BUYAUTO	Label: Would you buy a car from a business Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG PREFERENCE NO CONTACT 3 DONT CARE 5 STRONG PREFERENCE CONTACT 8 DK 9 NA	1962
BUYLAW	Label: Would you buy legal svcs from a business Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG PREFERENCE NO CONTACT 3 DONT CARE 5 STRONG PREFERENCE CONTACT 8 DK 9 NA	1963
BUYFIXES	Label: Would you buy home maintenance from a business Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG PREFERENCE NO CONTACT 3 DONT CARE 5 STRONG PREFERENCE CONTACT 8 DK 9 NA	1964
BUYHOME	Label: Would you buy a house from a business Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG PREFERENCE NO CONTACT 3 DONT CARE 5 STRONG PREFERENCE CONTACT 8 DK 9 NA	1965
TRANSREL	Label: How likely to mention problems to relatives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY WOULD NOT MENTION IT 2 PROBABLY WOULD NOT 3 PROBABLY WOULD 4 DEFINITELY WOULD MENTION IT 8 DONT KNOW 9 NA	1966
FRNDDEAL	Label: People usually get a better price from friends Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1967
FRNDAWK	Label: Discussing price is awkward among friends Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA	1968
TABLPRCE	Label: The factory not lowering price acceptable? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ACCEPTABLE 2 UNFAIR 8 DONT KNOW 9 NA	1969
ORGANSB	Label: Which procedures be used to assign the organ Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AUCTION 2 FIRST COME-FIRST SERVED 3 LOTTERY 4 MERIT 8 DONT KNOW 9 NA	1970
ORGANSW	Label: Which of these procedures would be the worst? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AUCTION 2 FIRST COME-FIRST SERVED 3 LOTTERY 4 MERIT 8 DONT KNOW 9 NA	1971
SELLORGN	Label: Should people be permitted to sell a kidney Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY NOT 2 PROBABLY NOT 3 PERHAPS 4 PROBABLY 5 DEFINITELY 8 DONT KNOW 9 NA	1972
ADOPTION	Label: Best way to match birth Mothers with adopters? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A SOCIAL SERVICE AGENCY 2 GO TO THE HIGHEST BIDDERS 3 BY LOTTERY 4 BIRTH MOTHERS SHOULD DECIDE 8 DONT KNOW 9 NA	1973
SELLBABY	Label: Surrogate Mothers should be permitted Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FORBID IT 2 PERMIT IT 8 DONT KNOW 9 NA	1974
SELLSEX	Label: Nothing inherently wrong with prostitution Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 DISAGREE SOMEWHAT 4 DISAGREE STRONGLY 8 DONT KNOW 9 NA	1975
REQINFO	Label: Resp. of gov. to require biz. to provide info Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 DISAGREE SOMEWHAT 4 DISAGREE STRONGLY 8 DONT KNOW 9 NA	1976
NATRECON	Label: Natural environments should be left alone Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 DISAGREE SOMEWHAT 4 DISAGREE STRONGLY 8 DONT KNOW 9 NA	1977
TAGSALES	Label: How frequently do you go to garage sales etc Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 RARELY 3 OCCASIONALLY 1-3 TIMES A YR 4 REGULARLY 5 ALMOST EVERY WEEKEND 8 DK 9 NA	1978
HAGGLE	Label: Do you expect to negotiate for a lower price? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXPECT TO PAY POSTED PRICE 2 NEGOTIATE FOR LOWER PRICE 8 DONT KNOW 9 NA	1979
WKFAMBIZ	Label: Work for pay in a farm etc owned by your family? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1980
HRFAMBIZ	Label: How many hours per week? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONLY ESPECIALLY BUSY SEASONS 2 LESS THAN 10 HOURS A WEEK 3 BETWEEN 10 AND 30 HOURS A WEEK 4 MORE THAN 30 HOURS A WEEK 8 DK 9 NA	1981
FAMBIZ	Label: What kind of business is this? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 MANUFACTURING 2 RETAIL SALES 3 WHOLESALE SALES 4 SERVICES 5 TRANSPORTATION 6 CONSTRUCTION 7 FINANCE, INSRNCE OR REAL EST 8 FARMING 9 OTHER SPECIFY 98 DK 99 NA	1982
ECONSYS	Label: Best-needs replaced Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 THE BEST POSSIBLE 2 OK BUT NEED SOME TINKERING 3 NEED FUNDAMENTAL CHANGES 4 NEED TO BE REPLACED 8 DONT KNOW 9 NA	1983
FAMFINAN	Label: How you and your spouse organize your finances Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WIFE MANAGES ALL THE MONEY 2 HUSBAND MANAGES ALL THE MONEY 3 WIFE HAS A HOUSEKEEPING ALLOWANCE 4 ALL THE MONEY IS POOLED 5 SOME OF THE MONEY IS POOLED 6 KEEP FINANCES COMPLETELY SEPARATE 8 DK 9 NA	1984
DECAUTO	Label: Deciding whether or not to buy an automobile Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HUSBAND ALONE 2 HUSBAND AFTER CONSULTING WITH WIFE 3 HUSBAND AND WIFE TOGETHER 4 WIFE AFTER CONSULTING HUSBAND 5 WIFE ALONE 6 OTHER 8 NOT APPLICABLE 9 NA	1985
DECBED	Label: Deciding whether or not to buy bedroom furniture Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HUSBAND ALONE 2 HUSBAND AFTER CONSULTING WITH WIFE 3 HUSBAND AND WIFE TOGETHER 4 WIFE AFTER CONSULTING HUSBAND 5 WIFE ALONE 6 OTHER 8 NOT APPLICABLE 9 NA	1986
DECGIFT	Label: Deciding on major charitable gifts. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HUSBAND ALONE 2 HUSBAND AFTER CONSULTING WITH WIFE 3 HUSBAND AND WIFE TOGETHER 4 WIFE AFTER CONSULTING HUSBAND 5 WIFE ALONE 6 OTHER 8 NOT APPLICABLE 9 NA	1987
LAYOFFS	Label: Who has the greatest right to keep their jobs? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 THOSE WHO HAVE WORKED LONGEST 2 THOSE WHO HAVE THE GREATEST NEEDS 3 THOSE WHO ARE THE BEST WORKERS 4 DIFFICULTY IN FINDING A NEW JOB 5 UNION MEMBERS 6 OLDER EMPLOYEES 7 YOUNGER EMPLOYEES 8 MEN 9 WOMEN 10 WHITES 11 MINORITIES-NON-WHITES 12 OTHER -PLEASE SPECIFY 13 OWNERS,BOSSES 14 ESSENTIAL EMPLOYEES 15 NEWEST EMPLOYEES 16 MOST LOYAL EMPLOYEES 17 PRODUCTION. HANDS-ON EMPLOYEES 98 DONT KNOW 99 NA	1988
VOLHLTH	Label: Done volunteer work in health past 12 mnths Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1989
VOLEDUC	Label: Done volunteer work in education Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1990
VOLRELIG	Label: Done volunteer work in religious org Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1991
VOLHUMAN	Label: Done volunteer work in human services Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1992
VOLENVIR	Label: Done volunteer work in environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1993
VOLPUB	Label: Done volunteer work in pub-soc benefit Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1994
VOLREC	Label: Done volunteer work in recreation adults Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1995
VOLART	Label: Done volunteer work in arts, culture, etc Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1996
VOLWORK	Label: Done volunteer work in work-related org Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1997
VOLPOL	Label: Done volunteer work in political org. etc Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1998
VOLYOUTH	Label: Done volunteer work in youth development Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	1999
VOLFOUND	Label: Done volunteer work in priv & comm. found Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2000
VOLINTL	Label: Done volunteer work in international Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2001
VOLINFRM	Label: Done volunteer work in informal-alone Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2002
VOLOTH	Label: Done volunteer work in other (specify)___ Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2003
MONHLTH	Label: Done volunteer work in health past month Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2004
MONEDUC	Label: Done volunteer work in education Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2005
MONRELIG	Label: Done volunteer work in religious org Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2006
MONHUMAN	Label: Done volunteer work in human services Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2007
MONENVIR	Label: Done volunteer work in environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2008
MONPUB	Label: Done volunteer work in pub-soc benefit Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2009
MONREC	Label: Done volunteer work in recreation adults Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2010
MONART	Label: Done volunteer work in arts, culture, etc Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2011
MONWORK	Label: Done volunteer work in work-related org Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2012
MONPOL	Label: Done volunteer work in political org. etc Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2013
MONYOUTH	Label: H done volunteer work in youth development Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2014
MONFOUND	Label: Done volunteer work in priv & comm. found Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2015
MONINTL	Label: Done volunteer work in international Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2016
MONINFRM	Label: Done volunteer work in informal-alone Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2017
MONOTH	Label: Done volunteer work in other (specify) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2018
HRSHLTH	Label: How many hours spent in health past month Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2019
HRSEDUC	Label: How many hours spent in education Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2020
HRSRELIG	Label: How many hours spent in religious org past Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2021
HRSHUMAN	Label: How many hours spent in human services Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2022
HRSENVIR	Label: How many hours spent in environment Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2023
HRSPUB	Label: How many hours spent in pub-soc benefit Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2024
HRSREC	Label: How many hours spent in recreation adults Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2025
HRSART	Label: How many hours spent in arts, culture Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2026
HRSWORK	Label: How many hours spent in work-related org Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2027
HRSPOL	Label: How many hours spent in political org. etc Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2028
HRSYOUTH	Label: How many hours spent in youth development Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2029
HRSFOUND	Label: How many hours spent in priv & comm. Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2030
HRSINTL	Label: How many hours spent in international Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2031
HRSINFRM	Label: How many hours spent in informal-alone Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2032
HRSOTH	Label: How many hours spent in other (specify) Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2033
GIVHLTH	Label: Contributed money in 1995 in health Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2034
GIVEDUC	Label: Contributed money in education Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2035
GIVRELIG	Label: Contributed money in religious org Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2036
GIVHUMAN	Label: Contributed money in human services Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2037
GIVENVIR	Label: Contributed money in environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2038
GIVPUB	Label: Contributed money in pub-soc benefit Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2039
GIVREC	Label: Contributed money in recreation adults Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2040
GIVART	Label: Contributed money in arts, culture, etc Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2041
GIVWORK	Label: Contributed money in work-related org Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2042
GIVPOL	Label: Contributed money in political org. etc Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2043
GIVYOUTH	Label: Contributed money in youth development Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2044
GIVFOUND	Label: Contributed money in priv & comm. found Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2045
GIVINTL	Label: Contributed money in international Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2046
GIVINFRM	Label: Contributed money in informal-alone Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2047
GIVOTH	Label: Contributed money in other (specify) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2048
TOTHLTH	Label: How much money contributed in health Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2049
TOTEDUC	Label: How much money contributed in education Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2050
TOTRELIG	Label: How much money contributed in religious org Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2051
TOTHUMAN	Label: How much money contributed in human services Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2052
TOTENVIR	Label: How much money contributed in environment Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2053
TOTPUB	Label: How much money contributed in pub-soc benefit Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2054
TOTREC	Label: How much money contributed in recreation adults Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2055
TOTART	Label: How much money contributed in arts, culture, etc Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2056
TOTWORK	Label: How much money contributed in work-related org Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2057
TOTPOL	Label: How much money contributed in political org. etc Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2058
TOTYOUTH	Label: How much money contributed in youth development Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2059
TOTFOUND	Label: How much money contributed in priv & comm. found Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2060
TOTINTL	Label: How much money contributed in international Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2061
TOTINFRM	Label: How much money contributed in informal-alone Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2062
TOTOTH	Label: How much money contributed in other (specify) Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2063
VALHLTH	Label: Estimated value contributed in health Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2064
VALEDUC	Label: Estimated value contributed in education Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2065
VALRELIG	Label: Estimated value contributed in religious org Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2066
VALHUMAN	Label: Estimated value contributed in human services Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2067
VALENVIR	Label: Estimated value contributed in environment Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2068
VALPUB	Label: Estimated value contributed in pub-soc benefit Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2069
VALREC	Label: Estimated value contributed in recreation adults Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2070
VALART	Label: Estimated value contributed in arts, culture, etc Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2071
VALWORK	Label: Estimated value contributed in work-related org Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2072
VALPOL	Label: Estimated value contributed in political org. etc Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2073
VALYOUTH	Label: Estimated value contributed in youth development Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2074
VALFOUND	Label: Estimated value contributed in priv & comm. found Format: F5.0 Measure: Scale Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2075
VALINTL	Label: Estimated value contributed in international Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2076
VALINFRM	Label: estimated value contributed in informal-alone Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2077
VALOTH	Label: Estimated value contributed in other (specify) Format: F5.0 Measure: Nominal Display Width: 8 Missing Values: -1; 99998; 99999 Value Label -1 IAP 99998 DK 99999 NA	2078
HOMELESS	Label: Contributed to the homeless Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2079
NEEDYNEI	Label: Contributed to a needy neighbor. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2080
NEEDYREL	Label: Contributed to a needy relative. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2081
NEEDYFRD	Label: Contributed to a needy friend. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2082
NEEDYOTH	Label: Contributed to other needy person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2083
PROBFIX1	Label: First mention of problem Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2084
PROBFIX2	Label: Second mention of problem Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2085
PROBFIX3	Label: Third mention of problem Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2086
PROBHLP1	Label: First mention to help problem Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2087
PROBHLP2	Label: Second mention to help problem Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2088
PROBHLP3	Label: Third mention to help problem Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2089
VIGVERSN	Label: vignette version number Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP	2090
SERIOUSP	Label: How serious X s situation is Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY SERIOUS 2 SOMEWHAT SERIOUS 3 NOT VERY SERIOUS 4 NOT AT ALL SERIOUS 8 DONT KNOW 9 NA	2091
CHARACTR	Label: How likely X s situation caused by bad character Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA	2092
IMBALNCE	Label: How likely X s situation caused by imbalance in brain Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA	2093
WAYRAISE	Label: How likely X s situation caused by the way raised Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA	2094
STRESSES	Label: How likely X s situation caused by stress Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA	2095
GENETICS	Label: How likely X s situation caused by genetic problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA	2096
GODSWILL	Label: How likely X s situation caused by god s will Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA	2097
UPSDOWNS	Label: How likely X is experiencing normal ups-and-downs of life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA	2098
BREAKDWN	Label: How likely X is experiencing nervous breakdown Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA	2099
MENTLILL	Label: How likely X is experiencing mental illness Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA	2100
PHYSILL	Label: How likely X is experiencing physical illness Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA	2101
VIGLABEL	Label: How likely X is experiencing vignettes Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA	2102
DECTREAT	Label: How able is X to decide receive treatment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY ABLE 2 SOMEWHAT ABLE 3 NOT VERY ABLE 4 NOT ABLE AT ALL 8 DONT KNOW 9 NA	2103
DECMONEY	Label: How able is X to decide managing own money Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY ABLE 2 SOMEWHAT ABLE 3 NOT VERY ABLE 4 NOT ABLE AT ALL 8 DONT KNOW 9 NA	2104
IMPRVOWN	Label: How likely X s situation will improve on its own Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 NOT LIKELY AT ALL 8 DONT KNOW 9 NA	2105
IMPRVTRT	Label: How likely X s situation will improve with treatment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 NOT LIKELY AT ALL 8 DONT KNOW 9 NA	2106
VIGNEI	Label: How willing R would have X as a neighbor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY WILLING 2 PROBABLY WILLING 3 PROBABLY UNWILLING 4 DEFINITELY UNWILLING 8 DONT KNOW 9 NA	2107
VIGSOC	Label: How willing R would spend time socializing with X Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY WILLING 2 PROBABLY WILLING 3 PROBABLY UNWILLING 4 DEFINITELY UNWILLING 8 DONT KNOW 9 NA	2108
VIGFRND	Label: How willing R would make friends with X Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY WILLING 2 PROBABLY WILLING 3 PROBABLY UNWILLING 4 DEFINITELY UNWILLING 8 DONT KNOW 9 NA	2109
VIGWORK	Label: How willing R would work closely with X on a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY WILLING 2 PROBABLY WILLING 3 PROBABLY UNWILLING 4 DEFINITELY UNWILLING 8 DONT KNOW 9 NA	2110
VIGGRP	Label: How willing R would have a group home for x Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY WILLING 2 PROBABLY WILLING 3 PROBABLY UNWILLING 4 DEFINITELY UNWILLING 8 DONT KNOW 9 NA	2111
VIGMAR	Label: How willing R would have X marry in R's family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY WILLING 2 PROBABLY WILLING 3 PROBABLY UNWILLING 4 DEFINITELY UNWILLING 8 DONT KNOW 9 NA	2112
HURTOTH	Label: How likely X violent toward other people Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT LIKELY AT ALL 8 DONT KNOW 9 NA	2113
HURTSELF	Label: How likely X violent toward oneself Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT LIKELY AT ALL 8 DONT KNOW 9 NA	2114
TLKFAM	Label: X should talk to family and friends Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2115
TLKCLRGY	Label: X should talk to religious leader Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2116
MEDDOC	Label: X should go to general medical doctor for help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2117
MENTLDOC	Label: X should go to psychiatrist for help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2118
MENTLOTH	Label: X should go to other mental health professional for help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2119
SPHEALER	Label: X should go to spiritual healer for help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2120
SELFHELP	Label: X should join a self-group with similar problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2121
OTCMED	Label: X should take non-prescription medication Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2122
RXMED	Label: X should take prescription medication Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2123
MENTLHOS	Label: X should check into a mental hospital Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2124
ORTLKFM	Label: In what order talk things over with family & friends Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2125
ORTLKCLR	Label: In what order talk to a minister, priest, rabbi etc Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2126
ORMEDDOC	Label: In what order go to a general medical doctor Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2127
ORMNTLDC	Label: In what order go to a psychiatrist for help Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2128
ORMNTLOT	Label: In what order go to a therapist, or counselor Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2129
ORHEALER	Label: In what order go to a spiritual or a natural healer Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2130
ORSLFHLP	Label: In what order join a self-help group Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2131
OROTCMED	Label: In what order take non-prescription medication Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2132
ORRXMED	Label: In what order take prescription medication Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2133
ORMNTLHS	Label: In what order check into a mental hospital Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2134
MUSTDOC	Label: X should be forced to be examined at a clinic by law Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2135
MUSTMED	Label: X should be forced to take prescribed medication by law Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2136
MUSTHOSP	Label: X should be admitted to be hospitalized for treatment by law Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2137
DANGRSLF	Label: X should be admitted to be hospitalized for treatment if dangerous to x Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2138
DANGROTH	Label: X should be admitted to be hospitalized for treatment if dangerous to others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2139
MEDCARE1	Label: Who R thinks should be most responsible for cost of xs medical care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NAME, HIM-HERSELF 2 HIS-HER FAMILY 3 GOVERNMENT 4 INSURANCE 5 PRIVATE CHARITY 8 DONT KNOW 9 NA	2140
MEDCARE2	Label: Who R thinks should be next most responsible for cost of xs medical care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HIS-HER FAMILY 2 GOVERNMENT 3 INSURANCE 4 PRIVATE CHARITY 8 DONT KNOW 9 NA	2141
SPMENTL	Label: Govt spending on health Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND THE SAME AS NOW 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	2142
GOVMENTL	Label: Should govt provide health care for mental illness Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD BE 2 PROBABLY SHOULD BE 3 PROBABLY SHOULD NOT BE 4 DEFINITELY SHOULD NOT BE 8 CANT CHOOSE 9 NA	2143
MNTLAS1	Label: 1st mention, what mental illness is, asserted Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2144
MNTLAS2	Label: 2nd mention, what mental illness is, asserted Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2145
MNTLIMP1	Label: 1st mention, what mental illness is, imputed Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2146
MNTLIMP2	Label: 2nd mention, what mental illness is, imputed Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2147
MNTLIMP3	Label: 3rd mention, what mental illness is, imputed Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2148
MNTLSYM1	Label: 1st mention, what mental illness is, symptoms Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2149
MNTLSYM2	Label: 2nd mention, what mental illness is, symptoms Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2150
MNTLSYM3	Label: 3rd mention, what mental illness is, symptoms Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2151
MNTLOTH	Label: What mental illness is, other codes Format: F4.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9999 Value Label 0 IAP 9999 NA	2152
BRKDAS1	Label: 1st mention, what nervous breakdown is, asserted Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2153
BRKDAS2	Label: 2nd mention, what nervous breakdown is, asserted Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2154
BRKDIMP1	Label: 1st mention, what nervous breakdown is, imputed Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2155
BRKDIMP2	Label: 2nd mention, what nervous breakdown is, imputed Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2156
BRKDIMP3	Label: 3rd mention, what nervous breakdown is, imputed Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2157
BRKDSYM1	Label: 1st mention, what nervous breakdown is, symptoms Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2158
BRKDSYM2	Label: 2nd mention, what nervous breakdown is, symptoms Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2159
BRKDSYM3	Label: 3rd mention, what nervous breakdown is, symptoms Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2160
BRKDOTH	Label: What nervous breakdown is, other codes Format: F4.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9999 Value Label 0 IAP 9999 NA	2161
KNWMHOSP	Label: Know anyone who was in a hospital Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 NOT SURE 9 NA	2162
RELMHSP1	Label: Patient was self Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF 2 NOT SELF 8 DONT KNOW 9 NA	2163
RELMHSP2	Label: Patient was immediate family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IMM. FAM 2 NOT IMM. FAM 8 DONT KNOW 9 NA	2164
RELMHSP3	Label: Patient was other relatives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OTH RELATIVE 2 NOT OTH RELATIVE 8 DONT KNOW 9 NA	2165
RELMHSP4	Label: Patient was close friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CLOSE FRIEND 2 NOT CLOSE FRIEND 8 DONT KNOW 9 NA	2166
RELMHSP5	Label: Patient was acquaintance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ACQUAINTANCE 2 NOT ACQUAINTANCE 8 DONT KNOW 9 NA	2167
RELMHSP6	Label: Patient was other Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OTHER 2 NOT OTHER 8 DONT KNOW 9 NA	2168
KNWPATNT	Label: Known anyone seeing a psychologist etc? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	2169
EVBRKDWN	Label: Ever felt going to have a nervous breakdown? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	2170
BRKDWHY1	Label: 1st mention cause of ner. break feelings Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2171
BRKDWHY2	Label: 2nd mention cause of ner. break feelings Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2172
BRKDWHY3	Label: 3rd mention cause of ner. break feelings Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2173
BRKDDO1	Label: 1st mention what R did when felt ner. break Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2174
BRKDDO2	Label: 2nd mention what R did when felt ner. break Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2175
BRKDDO3	Label: 3rd mention what R did when felt ner. break Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2176
BRKDHLP1	Label: 1st mention what help R sought Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2177
BRKDHLP2	Label: 2nd mention what help R sought Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2178
BRKDHLP3	Label: 3rd mention what help R sought Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2179
BRKDTIME	Label: When feelings of nervous breakdown happened Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 9 NA	2180
BRKDDUR	Label: Duration, severity of nervous breakdown feelings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 9 NA	2181
EVMHP	Label: Ever had mental health problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 NOT SURE 9 NA	2182
MNILWHY1	Label: 1st mention cause of mental illness feelings Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2183
MNILWHY2	Label: 2nd mention cause of mental illness feelings Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2184
MNILWHY3	Label: 3rd mention cause of mental illness feelings Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2185
MNILDO1	Label: 1st mention what R did when felt mental illness Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2186
MNILDO2	Label: 2nd mention what R did when felt mental illness Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2187
MNILDO3	Label: 3rd mention what R did when felt mental illness Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	2188
MNILHLP1	Label: 1st mention what help R sought Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2189
MNILHLP2	Label: 2nd mention what help R sought Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2190
MNILHLP3	Label: 3rd mention what help R sought Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	2191
MNILTIME	Label: When feelings of mental illness happened Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 9 NA	2192
MNILDUR	Label: Duration, severity of feelings of mental illness Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 9 NA	2193
PRIVPRAY	Label: How often pray privately Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 MRE THN ONCE/DAY 2 ONCE A DAY 3 A FEW TIMES/WEEK 4 ONCE A WEEK 5 FEW TIMES/MONTH 6 ONCE A MONTH 7 LESS ONCE/MNTH 8 NEVER 98 DK 99 NA	2194
MEDITATE	Label: How often meditate Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 MRE THN ONCE/DAY 2 ONCE A DAY 3 A FEW TIMES/WEEK 4 ONCE A WEEK 5 FEW TIMES/MONTH 6 ONCE A MONTH 7 LESS ONCE/MNTH 8 NEVER 98 DK 99 NA	2195
CONGHLP1	Label: How much congregation help out with ill Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 A GREAT DEAL 2 SOME 3 A LITTLE 4 NONE 8 DONT KNOW 9 NA	2196
CONGHLP2	Label: How much congregation help out with prob Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 A GREAT DEAL 2 SOME 3 A LITTLE 4 NONE 8 DONT KNOW 9 NA	2197
CONGHRM1	Label: How often congregation make too much demand Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 ONCE IN A WHILE 4 NEVER 8 DONT KNOW 9 NA	2198
CONGHRM2	Label: How often congregation critical of things R do Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 ONCE IN A WHILE 4 NEVER 8 DONT KNOW 9 NA	2199
COPE1	Label: Think about life is part of larger force Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 A GREAT DEAL 2 QUITE A BIT 3 SOMEWHAT 4 NOT AT ALL 8 DONT KNOW 9 NA	2200
COPE2	Label: Work together with god as partner's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 A GREAT DEAL 2 QUITE A BIT 3 SOMEWHAT 4 NOT AT ALL 8 DONT KNOW 9 NA	2201
COPE3	Label: Look to god for strength & support Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 A GREAT DEAL 2 QUITE A BIT 3 SOMEWHAT 4 NOT AT ALL 8 DONT KNOW 9 NA	2202
COPE4	Label: Feel god is punishing for sin Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 A GREAT DEAL 2 QUITE A BIT 3 SOMEWHAT 4 NOT AT ALL 8 DONT KNOW 9 NA	2203
COPE5	Label: Wonder whether god has abandoned me Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 A GREAT DEAL 2 QUITE A BIT 3 SOMEWHAT 4 NOT AT ALL 8 DONT KNOW 9 NA	2204
COPE6	Label: Try to make sense without relying on god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 A GREAT DEAL 2 QUITE A BIT 3 SOMEWHAT 4 NOT AT ALL 8 DONT KNOW 9 NA	2205
GODWATCH	Label: Believe in god who watch over me Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONG DISAGREE 8 DONT KNOW 9 NA	2206
LESSPAIN	Label: Feel deep sense of resp for reducing pain Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONG DISAGREE 8 DONT KNOW 9 NA	2207
RELLIFE	Label: Try to carry beliefs into other dealings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONG DISAGREE 8 DONT KNOW 9 NA	2208
FORGIVE1	Label: Have forgiven self for mistakes Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 ALWYS/ALMST ALWY 2 OFTEN 3 SELDOM 4 NEVER 8 DONT KNOW 9 NA	2209
FORGIVE2	Label: Have forgiven those who hurt me Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 ALWYS/ALMST ALWY 2 OFTEN 3 SELDOM 4 NEVER 8 DONT KNOW 9 NA	2210
FORGIVE3	Label: Know that god forgives me Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 ALWYS/ALMST ALWY 2 OFTEN 3 SELDOM 4 NEVER 8 DONT KNOW 9 NA	2211
FEELGOD	Label: Feel gods presence Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 MANY TIMES A DAY 2 EVERY DAY 3 MOST DAYS 4 SOME DAYS 5 ONCE IN A WHILE 6 NEVER/ALMST NEVR 8 DONT KNOW 9 NA	2212
RELCMFRT	Label: Find strength and comfort in religion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 MANY TIMES A DAY 2 EVERY DAY 3 MOST DAYS 4 SOME DAYS 5 ONCE IN A WHILE 6 NEVER/ALMST NEVR 8 DONT KNOW 9 NA	2213
HARMONY	Label: Feel deep inner peace or harmony Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 MANY TIMES A DAY 2 EVERY DAY 3 MOST DAYS 4 SOME DAYS 5 ONCE IN A WHILE 6 NEVER/ALMST NEVR 8 DONT KNOW 9 NA	2214
UNIONGOD	Label: Desire to be closer to god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 MANY TIMES A DAY 2 EVERY DAY 3 MOST DAYS 4 SOME DAYS 5 ONCE IN A WHILE 6 NEVER/ALMST NEVR 8 DONT KNOW 9 NA	2215
GODLOVE	Label: Feel gods love directly or thru others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 MANY TIMES A DAY 2 EVERY DAY 3 MOST DAYS 4 SOME DAYS 5 ONCE IN A WHILE 6 NEVER/ALMST NEVR 8 DONT KNOW 9 NA	2216
BEAUSPRT	Label: Spiritually touched by beauty creation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 MANY TIMES A DAY 2 EVERY DAY 3 MOST DAYS 4 SOME DAYS 5 ONCE IN A WHILE 6 NEVER/ALMST NEVR 8 DONT KNOW 9 NA	2217
NOCHEER	Label: In past 30 days feel sad Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 SOME OF THE TIME 4 LITTLE OF TIME 5 NONE OF THE TIME 8 DONT KNOW 9 NA	2218
NERVOUS	Label: In past 30 days feel nervous Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 SOME OF THE TIME 4 LITTLE OF TIME 5 NONE OF THE TIME 8 DONT KNOW 9 NA	2219
FIDGETY	Label: In past 30 days feel restless or fidgety Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 SOME OF THE TIME 4 LITTLE OF TIME 5 NONE OF THE TIME 8 DONT KNOW 9 NA	2220
HOPELESS	Label: In past 30 days feel hopeless Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 SOME OF THE TIME 4 LITTLE OF TIME 5 NONE OF THE TIME 8 DONT KNOW 9 NA	2221
EFFORT	Label: In past 30 days feel everything thing effort Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 SOME OF THE TIME 4 LITTLE OF TIME 5 NONE OF THE TIME 8 DONT KNOW 9 NA	2222
WRTHLESS	Label: In past 30 days feel worthless Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 SOME OF THE TIME 4 LITTLE OF TIME 5 NONE OF THE TIME 8 DONT KNOW 9 NA	2223
LOTR1	Label: In uncertain times I usually expect best Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly disagree 2 Disagree 3 Neutral 4 Agree 5 Strongly agree 8 DK 9 NA	2224
LOTR2	Label: If something can go wrong for me it will Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly disagree 2 Disagree 3 Neutral 4 Agree 5 Strongly agree 8 DK 9 NA	2225
LOTR3	Label: I'm always optimistic about my future Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly disagree 2 Disagree 3 Neutral 4 Agree 5 Strongly agree 8 DK 9 NA	2226
LOTR4	Label: I hardly ever expect things to go my way Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly disagree 2 Disagree 3 Neutral 4 Agree 5 Strongly agree 8 DK 9 NA	2227
LOTR5	Label: I rarely count on good things happening to me Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly disagree 2 Disagree 3 Neutral 4 Agree 5 Strongly agree 8 DK 9 NA	2228
LOTR6	Label: I expect more good things to happen to me than bad Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly disagree 2 Disagree 3 Neutral 4 Agree 5 Strongly agree 8 DK 9 NA	2229
HOPE1	Label: I could get out of a jam Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Definitely false 2 Mostly false 3 Somewhat false 4 Slightly false 5 Slightly true 6 Somewhat true 7 Mostly true 8 Definitely true 98 DK 99 NA	2230
HOPE2	Label: I am energetically pursuing my goals Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Definitely false 2 Mostly false 3 Somewhat false 4 Slightly false 5 Slightly true 6 Somewhat true 7 Mostly true 8 Definitely true 98 DK 99 NA	2231
HOPE3	Label: There are many ways around problems i face Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Definitely false 2 Mostly false 3 Somewhat false 4 Slightly false 5 Slightly true 6 Somewhat true 7 Mostly true 8 Definitely true 98 DK 99 NA	2232
HOPE4	Label: I see myself as successful Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Definitely false 2 Mostly false 3 Somewhat false 4 Slightly false 5 Slightly true 6 Somewhat true 7 Mostly true 8 Definitely true 98 DK 99 NA	2233
HOPE5	Label: I can think of many ways to reach my current goals Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Definitely false 2 Mostly false 3 Somewhat false 4 Slightly false 5 Slightly true 6 Somewhat true 7 Mostly true 8 Definitely true 98 DK 99 NA	2234
HOPE6	Label: I am meeting my current goals Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Definitely false 2 Mostly false 3 Somewhat false 4 Slightly false 5 Slightly true 6 Somewhat true 7 Mostly true 8 Definitely true 98 DK 99 NA	2235
RELPERSN	Label: R consider self a religious person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 VERY RELIGIOUS 2 MODRTE RELIGIOUS 3 SLIGHT RELIGIOUS 4 NOT RELIGIOUS 8 DONT KNOW 9 NA	2236
SPRTPRSN	Label: R consider self a spiritual person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 VERY SPIRITUAL 2 MODEATE SPIRTUAL 3 SLIGHT SPIRITUAL 4 NOT SPIRITUAL 8 DONT KNOW 9 NA	2237
RELEXP	Label: Have religious experience changed life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2238
NATARTS	Label: Spending right amount on arts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DONT KNOW 9 NA	2239
ARTGOD	Label: Thru art and music we come closer to god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONG DISAGREE 8 DONT KNOW 9 NA	2240
ARTISTS	Label: Excellent artists able support themselves Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONG DISAGREE 8 DONT KNOW 9 NA	2241
IRRELART	Label: Should allow art to mock or demean religion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 ALLOWED 2 NOT ALLOWED 8 DONT KNOW 9 NA	2242
IRRELOFF	Label: Offended art mocks or demeans religion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 OFFENDED 2 NOT OFFENDED 8 DONT KNOW 9 NA	2243
AIMOFART	Label: Aim of art Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 8 Value Label 0 IAP 1 ART HUMAN SPIRIT 2 ART XPRSS ARTIST 8 DONT KNOW 9 NA	2244
READFICT	Label: Read novels poems or plays Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2245
POPMUSIC	Label: Went to a live performance of popular music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2246
DRAMA	Label: Went to a live drama Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2247
RELART	Label: Had experience of art at place of worship Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2248
VOLARTS	Label: Volunteered for organizations of arts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2249
NATLART	Label: Feel fed gov should provide assistance to art Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2250
STATEART	Label: Feel state gov should provide assistance to art Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2251
LOCALART	Label: Feel local gov should provide assistance to art Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2252
PRFMNCE	Label: Did R go to a performance in last 12 months Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2253
ARTEXBT	Label: Did R go to an art exhibit in last 12 months Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2254
PRFMMUS	Label: Was it a music performance Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2255
PRFMDAN	Label: Was it a dance performance Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2256
PRFMTHE	Label: Was it a theater performance Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2257
PRFMATT	Label: Did R attend alone or with others Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Alone 2 With one other person 3 With two or more other people 8 DK 9 NA	2258
PRFMATT1	Label: Attended with spouse or partner Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2259
PRFMATT2	Label: Attended with child Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2260
PRFMATT3	Label: Attended with friend Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2261
PRFMATT4	Label: Attended with relative Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2262
PRFMATT5	Label: Attended with other Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2263
PRFMFREE	Label: Was performance attended free Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Free 2 Admission fee 8 DK 9 NA	2264
PRFMWHY1	Label: Imp of low cost in decision to attend performance Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2265
PRFMWHY2	Label: Imp of wanting to experience high quality art in decision to attend perf Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2266
PRFMWHY3	Label: Imp of wanting to socialize with friends or fam in decision to attend perf Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2267
PRFMWHY4	Label: Imp of wanting to celebrate cultural heritage in decision to attend perf Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2268
PRFMWHY5	Label: Imp of wanting to support community in decision to attend perf Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2269
PRFMWHY6	Label: Imp of wanting to learn in decision to attend perf Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2270
PRFMWHY7	Label: Imp of location in decision to attend perf Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2271
PRFMWHY8	Label: Imp of specific individ performer in decision to attend perf Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2272
PRFMWHY9	Label: Was there another major reason in decision to attend perf Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2273
PRFMWHY0	Label: Other major reason in decision to attend perf Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Gift, Free 2 School related 3 Wanted to see specific show/exhibit 4 Variety, something different, new experience 5 Win meal, drinks 6 Entertainment, enjoyment, have fun 7 Religious 8 For children, educational 10 Support Family/Friend 11 Celebrate birthday, anniversary 12 Night Out, Date 13 Meet, Support Artist 14 Work Related 20 Misc other reasons 98 DK 99 NA	2274
ARTATT	Label: Attended exhibit alone or with others Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Alone 2 With one other person 3 With two or more other people 8 DK 9 NA	2275
ARTATT1	Label: Attended with spouse or partner Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2276
ARTATT2	Label: Attended with child Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2277
ARTATT3	Label: Attended with friend Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2278
ARTATT4	Label: Attended with relative Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2279
ARTATT5	Label: Attended with other Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2280
ARTFREE	Label: Was exhibit attended free Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Free 2 Admission fee 8 DK 9 NA	2281
ARTWHY1	Label: Imp of low cost in decision to attend exhibit Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2282
ARTWHY2	Label: Imp of wanting to experience high quality art in decision to attend exhibit Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2283
ARTWHY3	Label: Imp of wanting to socialize with friends or fam in decision to attend exhibit Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2284
ARTWHY4	Label: Imp of wanting to celebrate cultural heritage in decision to attend exhibit Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2285
ARTWHY5	Label: Imp of wanting to support community in decision to attend exhibit Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2286
ARTWHY6	Label: Imp of wanting to learn in decision to attend exhibit Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2287
ARTWHY7	Label: Imp of location in decision to attend exhibit Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Major reason 2 Minor reason 3 Not a reason 8 DK 9 NA	2288
ARTWHY8	Label: Was there another major reason in decision to attend exhibit Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2289
ARTWHY9	Label: Other major reason in decision to attend Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Gift, Free 2 School related 3 Wanted to see specific show/exhibit 4 Variety, something different, new experience 5 Win meal, drinks 6 Entertainment, enjoyment, have fun 7 Religious 8 For children, educational 10 Support Family/Friend 11 Celebrate birthday, anniversary 12 Night Out, Date 13 Meet, Support Artist 14 Work Related 20 Misc other reasons 98 DK 99 NA	2290
NOGO	Label: Perf or exhibit R wanted to go to in past 12 months but did not Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2291
NOGO1	Label: Performance or exhibit Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Performance 2 Exhibit 3 Both performance and exhibit 8 DK 9 NA	2292
PRFMCOST	Label: Did not go due to cost Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2293
PRFMINT	Label: Did not go since not of interest Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2294
PRFMTRVL	Label: Did not go because too dificult to get there Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2295
PRFMGST	Label: Did not go because couldn't find anyone to go with Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2296
PRFMTIME	Label: Did not go due to lack of time Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2297
PRFMLOC	Label: Did not want to go to that location Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2298
PRFMOTHR	Label: Other reason why did not go Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2299
PRFMOTHR1	Label: Other reason why did not go Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Cost too much 2 Programs or events were not of interest 3 Too difficult to get there 4 Could not find anyone to go with 5 Could not find the time 6 Did not want to go to that location 7 Work conflict 8 Ill, too tired 10 No childcare 11 Sold out 12 Forgot, didn't act in time 13 Away, other conflict 14 Taking care of family member 20 Some other reason not shown 98 DK 99 NA	2300
ARTCOST	Label: Did not go due to cost Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2301
ARTINT	Label: Did not go since not of interest Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2302
ARTTRVL	Label: Did not go because too dificult to get there Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2303
ARTGST	Label: Did not go because couldn't find anyone to go with Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2304
ARTTIME	Label: Did not go due to lack of time Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2305
ARTLOC	Label: Did not want to go to that location Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2306
ARTOTHR	Label: Other reason why did not go Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A reason 2 Not a reason 8 DK 9 NA	2307
PRFMMOSTOTH	Label: Most imp factor in not attending performance Format: F8.0 Measure: Nominal Display Width: 13 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Cost too much 2 Programs or events were not of interest 3 Too difficult to get there 4 Could not find anyone to go with 5 Could not find the time 6 Did not want to go to that location 7 Work conflict 8 Ill, too tired 10 No childcare 11 Sold out 12 Forgot, didn't act in time 13 Away, other conflict 14 Taking care of family member 20 Some other reason not shown 98 DK 99 NA	2308
ARTMOSTOTH	Label: Most imp factor in not attending art exhibit Format: F8.0 Measure: Nominal Display Width: 12 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Cost too much 2 Programs or events were not of interest 3 Too difficult to get there 4 Could not find anyone to go with 5 Could not find the time 6 Did not want to go to that location 7 Work conflict 8 Ill, too tired 10 No childcare 11 Sold out 12 Forgot, didn't act in time 13 Away, other conflict 14 Taking care of family member 20 Some other reason not shown 98 DK 99 NA	2309
OCCYRS	Label: How many years in your occupation Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2310
OCCTRAIN	Label: Gone thru specialized training Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	2311
TRAINSCH	Label: How many years spent on training Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LESS THAN ONE YEAR 2 TWO YEARS OR LESS 3 FOUR YEARS OR LESS 4 SIX YEARS OR LESS 5 EIGHT YEARS OR LESS 6 OVER EIGHT YEARS 8 DONT KNOW 9 NA	2312
TYPEORG	Label: Work in independent or part of larger org Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LARGER ORGANIZTN 2 CMPLTE INDPNDENT 8 NOT SURE 9 NA	2313
WRKOTH	Label: Ever worked full time at other parts of org Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	2314
OTHYRS	Label: Years worked full time at other parts of org Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NA	2315
PARTORG	Label: In what ways part of the larger org Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BRANCH/SUBSDIARY 2 ORG HEADQUARTERS 3 GOVERNMNT AGENCY 4 PUBLIC SCH SYS 5 SOMETHING ELSE 8 NOT SURE 9 NA	2316
ORGSIZE	Label: How many people employed in the entire org Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 1-9 2 10-49 3 50-99 4 100-499 5 500-999 6 1 000-1 999 7 2 000-9 999 8 10 000 OR MORE 98 NOT SURE 99 NA	2317
GENDERWK	Label: Mostly men or women at the workplace Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL WOMEN 2 ALMOST ALL WOMEN 3 MOSTLY WOMEN 4 HALF MEN/WOMEN 5 MOSTLY MEN 6 ALMOST ALL MEN 7 ALL MEN 8 NOT SURE 9 NA	2318
LOCYRS	Label: How long have worked at this location Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1.00 IAP 98.00 DONT KNOW 99.00 NA	2319
SAMEWORK	Label: Worked at other site with similar product Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	2320
SITEYRS	Label: How long have worked for those sites Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NA	2321
OTJTRAIN	Label: Received any on-the-job training Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO/PRCTICLY NONE 8 DONT KNOW 9 NA	2322
FORMLTRN	Label: Did it include formal training course Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	2323
FORMLFIN	Label: Have you finished all the courses Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 NEVER ENDS 8 DONT KNOW 9 NA	2324
FORMLDYS	Label: The number of days in formal training Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A MONTH OR LESS 2 1-3 MONTHS 3 3-6 MONTHS 4 6 MONTHS-1 YR 5 OVER A YEAR 8 DONT KNOW 9 NA	2325
FORMLHRS	Label: The number of hrs in formal training Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 35 HOURS OR LESS 2 35 HOURS-70 HRS 3 OVER 70 HOURS 8 DONT KNOW 9 NA	2326
DOINGTRN	Label: Include informal learning by doing Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	2327
DOINGFIN	Label: Have completed this on-the-job training Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NOT YET/EVENTUAL 3 NEVER ENDS 8 DONT KNOW 9 NA	2328
DOINGDYS	Label: How long spent on learning by doing Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A MONTH OR LESS 2 MONTH TO THREE 3 3 MONTHS TO 6 4 6 MONTHS TO YEAR 5 OVER A YEAR 8 DONT KNOW 9 NA	2329
WOJOB	Label: Since 1st job ever been without a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	2330
WOJOBYRS	Label: How many years without a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LESS ONE YEAR 2 ONE TO 3 YEARS 3 3 TO 5 YEARS 4 FIVE - TEN YEARS 5 TEN YEARS/OVER 8 DONT KNOW 9 NA	2331
NUMEMP	Label: For how many employers ever worked full time Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE 2 TWO 3 THREE TO FIVE 4 SIX TO TEN 5 MORE THAN TEN 8 DONT KNOW 9 NA	2332
HOWPAID	Label: How get paid last week Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HOURLY WAGE 2 DAILY WAGE 3 WEEKLY WAGE 4 MONTHLY SALARY 5 ANNUAL SALARY 6 OTHER PAY RATE 8 DONT KNOW 9 NA	2333
HOURLY	Label: What is your hoURLy wage before tax Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DONT KNOW 999 NA	2334
DAILY	Label: What is your daily wage before tax Format: F4.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DONT KNOW 9999 NA	2335
WEEKLY	Label: What is your weekly wage before tax Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DONT KNOW 9999 NA	2336
MONTHLY	Label: What is your monthly wage before tax Format: F5.0 Measure: Scale Display Width: 8 Missing Values: 0; 99998; 99999 Value Label 0 IAP 99998 DONT KNOW 99999 NA	2337
YEARLY	Label: What is your yearly wage before tax Format: F6.0 Measure: Scale Display Width: 8 Missing Values: 0; 999998; 999999 Value Label 0 IAP 999998 DONT KNOW 999999 NA	2338
TRUSTING	Label: Most people can be trusted Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUSTING 2 SOMEWHT TRUSTING 3 SOMWHT DSTRUSTNG 4 VERY DISTRUSTING 8 DONT KNOW 9 NA	2339
SEENMNTL	Label: You or anyone you know seen a psychiatrist Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	2340
PSYCMED1	Label: Psychiatric medicine is harmful to the body Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DONT KNOW 9 NA	2341
PSYCMED2	Label: People should stop taking if symptoms gone Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DONT KNOW 9 NA	2342
PSYCMED3	Label: Taking these medicine interferes w daily act Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DONT KNOW 9 NA	2343
PSYCMED4	Label: Helps people deal w day to day stresses Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DONT KNOW 9 NA	2344
PSYCMED5	Label: Makes things easier in relations Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DONT KNOW 9 NA	2345
PSYCMED6	Label: These medications help control symptoms Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DONT KNOW 9 NA	2346
PSYCMED7	Label: Helps people feel better about themselves Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DONT KNOW 9 NA	2347
USEPSYC1	Label: Will take medicine because personal trouble Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DONT KNOW 9 NA	2348
USEPSYC2	Label: Will take medicine because cant cope w stress Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DONT KNOW 9 NA	2349
USEPSYC3	Label: Will take medicine because feeling depressed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DONT KNOW 9 NA	2350
USEPSYC4	Label: Will take medicine because intense fear Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DONT KNOW 9 NA	2351
PSYCKID1	Label: Will give kid med because kid is hostile Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DONT KNOW 9 NA	2352
PSYCKID2	Label: Will give kid med because school trouble Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DONT KNOW 9 NA	2353
PSYCKID3	Label: Will give kid med because kid talked suicide Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DONT KNOW 9 NA	2354
PSYCDRCT	Label: Prefer go directly to a mental health spec Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DONT KNOW 9 NA	2355
PSYCFDOC	Label: Would trust family physician prescription Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DONT KNOW 9 NA	2356
PSYCPSYC	Label: Only trust psychiatrist prescription Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DONT KNOW 9 NA	2357
HLTHINSR	Label: Have health insurance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES COVERED 2 NO NOT COVERED 8 DONT KNOW 9 NA	2358
DOCLIST	Label: Use a directory list for health care plan Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 KNOW KNOW 9 NA	2359
ANYDOC	Label: Can choose any doctor i like Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	2360
SWITHLTH	Label: Ever switched plan medical care provider Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 CANT SWITCH 8 DONT KNOW 9 NA	2361
USEDMNTL	Label: Have sought care with mental health since plan Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 KNOW KNOW 9 NA	2362
MNTLCARE	Label: Were able to get mental health care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 KNOW KNOW 9 NA	2363
MNTLDIF	Label: How difficult to get mental health care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY DIFFICULT 2 SOMEWHAT DIFFCLT 3 NOT DIFFICULT 8 KNOW KNOW 9 NA	2364
MNTLDENY	Label: Ever denied services under plans package Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	2365
HMO1	Label: HMO improves the quality of care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG DISAGREE 2 DISAGREE 3 NOT AGREE/DSAGRE 4 AGREE 5 STRONGLY AGREE 8 DONT KNOW 9 NA	2366
HMO2	Label: HMO prevent doctors from prescribing tests Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG DISAGREE 2 DISAGREE 3 NOT AGREE/DSAGRE 4 AGREE 5 STRONGLY AGREE 8 DONT KNOW 9 NA	2367
HMO3	Label: HMO help to control costs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG DISAGREE 2 DISAGREE 3 NOT AGREE/DSAGRE 4 AGREE 5 STRONGLY AGREE 8 DONT KNOW 9 NA	2368
HMO4	Label: HMO prevent people from getting needed care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG DISAGREE 2 DISAGREE 3 NOT AGREE/DSAGRE 4 AGREE 5 STRONGLY AGREE 8 DONT KNOW 9 NA	2369
HMO5	Label: HMO damage trust btwn doctors and patients Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG DISAGREE 2 DISAGREE 3 NOT AGREE/DSAGRE 4 AGREE 5 STRONGLY AGREE 8 DONT KNOW 9 NA	2370
HMO6	Label: HMO take medical decisions from physicians Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG DISAGREE 2 DISAGREE 3 NOT AGREE/DSAGRE 4 AGREE 5 STRONGLY AGREE 8 DONT KNOW 9 NA	2371
HMO7	Label: HMO make emotional mental prblm more difficult Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONG DISAGREE 2 DISAGREE 3 NOT AGREE/DSAGRE 4 AGREE 5 STRONGLY AGREE 8 DONT KNOW 9 NA	2372
DOC1	Label: Doctors aren't as thorough as should be Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2373
DOC2	Label: Doctors do best to prevent worrying Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2374
DOC3	Label: Doctors sometimes take unnecessary risks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2375
DOC4	Label: Doctors are careful to check everything Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2376
DOC5	Label: Doctors treat patients with respect Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2377
DOC6	Label: I hardly see the same doctors each time Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2378
DOC7	Label: Doctors avoid unnecessary patient expenses Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2379
DOC8	Label: Doctors cause worry because don't explain Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2380
DOC9	Label: Doctors ignore old problems care new ones Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2381
DOC10	Label: Doctors recommend surgery if no other way Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2382
DOC11	Label: Doctors willing to refer me a specialist Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2383
DOC12	Label: Doctors unable to tell me all the options Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2384
DOC13	Label: Doctors deny me the treatment needed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2385
DOC14	Label: Doctors put cost consideration above care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2386
DOC15	Label: Doctor not really care me as a person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2387
DOC16	Label: Doctors judgment trusted Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2388
DOC17	Label: Doctor does not do everything should for me Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 UNCERTAIN 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2389
DOC18	Label: Doctor put medical needs above all other Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2390
DOC19	Label: Doctor a real expert in taking care problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2391
DOC20	Label: Doctor tell me if a mistake was made Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2392
PROZAC	Label: Have you ever heard of prozac Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 NOT SURE 9 NA	2393
USEDPROZ	Label: Have you ever taken prozac Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 NOT SURE 9 NA	2394
KNWNPROZ	Label: Have you known anyone who took prozac Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 NOT SURE 9 NA	2395
PROZFOR1	Label: What can you tell me about prozac is used for Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DONT KNOW 99 NA	2396
PROZFOR2	Label: What can you tell me about prozac is used for Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DONT KNOW 99 NA	2397
PROZFOR3	Label: What can you tell me about prozac is used for Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DONT KNOW 99 NA	2398
PROZ1	Label: Prozac is harmful to the body Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	2399
PROZ2	Label: If no symptoms should dISCOntinue prozac Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	2400
PROZ3	Label: Taking prozac interferes with daily activities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	2401
PROZ4	Label: Taking prozac helps people deal with stress Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	2402
PROZ5	Label: Taking prozac makes relations easier Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	2403
PROZ6	Label: Prozac helps people control their symptoms Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	2404
PROZ7	Label: Prozac makes people feel better about themselves Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	2405
PROZ8	Label: Prozac should be taken to enhance personalities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	2406
PROZ9	Label: Prozac is for those diagnosed with depression Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	2407
PROZSLF1	Label: Take prozac if trouble in personal life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DK 9 NA	2408
PROZSLF2	Label: Take prozac if cant cope with stresses Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DK 9 NA	2409
PROZSLF3	Label: Take prozac if feel depressed sleepless Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DK 9 NA	2410
PROZSLF4	Label: Take prozac if intense fear losing control Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DK 9 NA	2411
PROZKID1	Label: Give kid prozac if is hostile Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DK 9 NA	2412
PROZKID2	Label: Give kid prozac if is not paying attention Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DK 9 NA	2413
PROZKID3	Label: Give kid prozac if is talking about suicide Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 MIXED 4 SOMEWHT UNLIKELY 5 VERY UNLIKELY 8 DK 9 NA	2414
SOCSECRT	Label: Social security will be better Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 SOMEWHAT BETTER 3 ABOUT THE SAME 4 SOMEWHAT WORSE 5 MUCH WORSE 8 DK 9 NA	2415
SOCSECFX	Label: How serious is social securities problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO PROBLEMS 2 MINOR PROBS 3 SERIOUS PROB 4 BE REPLACED 8 DK 9 NA	2416
SOCSECNU	Label: Social security phase out or continue Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PHASE OUT SOCIAL SECURITY+ 2 CONTINUE AS IS 8 DK 9 NA	2417
TERMINAL	Label: Have you or close friends relative faced with terminal illness Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES MYSELF 2 YES FRIEND 3 YES IMMED RELTVE 4 YES OTHR RELATVE 5 NO 6 SELF AND ONE 7 TWO OR MORE 8 DK 9 NA	2418
TERMECON	Label: Worry about economic burden of terminal illness Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2419
TERMREL	Label: My religious community very helpful Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2420
TERMEMOT	Label: Worry about emotional burden on my family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2421
TERMPAIN	Label: Believe doctors can control my pain Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2422
TERMPAY	Label: Worry if no money get second class care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2423
TRUSTFAM	Label: Would trust my family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETELY 2 A GREAT DEAL 3 SOMEWHAT 4 ONLY A LITTLE 5 NOT AT ALL 8 DONT KNOW 9 NA	2424
TRUSTDOC	Label: Would trust my doctor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETELY 2 A GREAT DEAL 3 SOMEWHAT 4 ONLY A LITTLE 5 NOT AT ALL 8 DONT KNOW 9 NA	2425
TRUSTCRT	Label: Would trust the courts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETELY 2 A GREAT DEAL 3 SOMEWHAT 4 ONLY A LITTLE 5 NOT AT ALL 8 DONT KNOW 9 NA	2426
TERMVIG	Label: One of the vignettes Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VIGNETTE A 2 VIGNETTE B 3 VIGNETTE C 4 VIGNETTE D 5 VIGNETTE E 6 VIGNETTE F 8 DONT KNOW 9 NA	2427
RIGHTREF	Label: Have a right to refuse further treatment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DONT KNOW 9 NA	2428
NOTREAT	Label: Refuse treatment except pain relief Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DONT KNOW 9 NA	2429
INSTRCTN	Label: Prepare written instructions explaining future car Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DONT KNOW 9 NA	2430
HOSPICE	Label: Choose hospice until patient dies Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DONT KNOW 9 NA	2431
PAINMED	Label: Ask doctors to increase pain medication Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DONT KNOW 9 NA	2432
DOCSUI	Label: Ask for physician-assisted suicide Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	2433
FAMWHTS	Label: Whites committed to strong families Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMMITMENT TO STRONG FAMILIES 7 LACKS COMMITMENT TO STRONG FAMILIES 8 DK 9 NA	2434
FAMBLKS	Label: Blacks committed to strong families Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMMITMENT TO STRONG FAMILIES 7 LACKS COMMITMENT TO STRONG FAMILIES 8 DK 9 NA	2435
FAMJewS	Label: Jews committed to strong families Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMMITMENT TO STRONG FAMILIES 7 LACKS COMMITMENT TO STRONG FAMILIES 8 DK 9 NA	2436
FAMHSPS	Label: Hispanics committed to strong families Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMMITMENT TO STRONG FAMILIES 7 LACKS COMMITMENT TO STRONG FAMILIES 8 DK 9 NA	2437
FAMASNS	Label: Asians committed to strong families Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMMITMENT TO STRONG FAMILIES 7 LACKS COMMITMENT TO STRONG FAMILIES 8 DK 9 NA	2438
FAIRWHTS	Label: Whites committed to fair and equal treatment of Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMMITMENT TO FAIR AND EQUAL TREATMENT 7 LACKS COMMITMENT TO FAIR AND EQUAL TREATMENT 8 DK 9 NA	2439
FAIRBLKS	Label: Blacks committed to fair and equal treatment of Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMMITMENT TO FAIR AND EQUAL TREATMENT 7 LACKS COMMITMENT TO FAIR AND EQUAL TREATMENT 8 DK 9 NA	2440
FAIRJewS	Label: Jews committed to fair and equal treatment of a Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMMITMENT TO FAIR AND EQUAL TREATMENT 7 LACKS COMMITMENT TO FAIR AND EQUAL TREATMENT 8 DK 9 NA	2441
FAIRHSPS	Label: Hispanics committed to fair and equal treatment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMMITMENT TO FAIR AND EQUAL TREATMENT 7 LACKS COMMITMENT TO FAIR AND EQUAL TREATMENT 8 DK 9 NA	2442
FAIRASNS	Label: Asians committed to fair and equal treatment o Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMMITMENT TO FAIR AND EQUAL TREATMENT 7 LACKS COMMITMENT TO FAIR AND EQUAL TREATMENT 8 DK 9 NA	2443
CONTENG	Label: Have English positive contribution to country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT CONTRIBUTION 2 IMPORTANT CONTRIBUTION 3 SOME CONTRIBUTION 4 LITTLE POSITIVE CONTRIBUTION 8 DK 9 NA	2444
CONTITL	Label: Have italians positive contribution to country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT CONTRIBUTION 2 IMPORTANT CONTRIBUTION 3 SOME CONTRIBUTION 4 LITTLE POSITIVE CONTRIBUTION 8 DK 9 NA	2445
CONTCHN	Label: Have chinese positive contribution to country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT CONTRIBUTION 2 IMPORTANT CONTRIBUTION 3 SOME CONTRIBUTION 4 LITTLE POSITIVE CONTRIBUTION 8 DK 9 NA	2446
CONTJew	Label: Have Jews positive contribution to country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT CONTRIBUTION 2 IMPORTANT CONTRIBUTION 3 SOME CONTRIBUTION 4 LITTLE POSITIVE CONTRIBUTION 8 DK 9 NA	2447
CONTBLK	Label: Have blacks positive contribution to country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT CONTRIBUTION 2 IMPORTANT CONTRIBUTION 3 SOME CONTRIBUTION 4 LITTLE POSITIVE CONTRIBUTION 8 DK 9 NA	2448
CONTMEX	Label: Have mexicans positive contribution to country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT CONTRIBUTION 2 IMPORTANT CONTRIBUTION 3 SOME CONTRIBUTION 4 LITTLE POSITIVE CONTRIBUTION 8 DK 9 NA	2449
CONTVN	Label: Have vietnamese positive contribution to country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT CONTRIBUTION 2 IMPORTANT CONTRIBUTION 3 SOME CONTRIBUTION 4 LITTLE POSITIVE CONTRIBUTION 8 DK 9 NA	2450
CONTCUBA	Label: Have cubans positive contribution to country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT CONTRIBUTION 2 IMPORTANT CONTRIBUTION 3 SOME CONTRIBUTION 4 LITTLE POSITIVE CONTRIBUTION 8 DK 9 NA	2451
CONTIRSH	Label: Have irish positive contribution to country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT CONTRIBUTION 2 IMPORTANT CONTRIBUTION 3 SOME CONTRIBUTION 4 LITTLE POSITIVE CONTRIBUTION 8 DK 9 NA	2452
CONTPR	Label: Have puerto ricans positive contribution to country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT CONTRIBUTION 2 IMPORTANT CONTRIBUTION 3 SOME CONTRIBUTION 4 LITTLE POSITIVE CONTRIBUTION 8 DK 9 NA	2453
CONTJPN	Label: Have japanese positive contribution to country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT CONTRIBUTION 2 IMPORTANT CONTRIBUTION 3 SOME CONTRIBUTION 4 LITTLE POSITIVE CONTRIBUTION 8 DK 9 NA	2454
CONTMSLM	Label: Have muslims positive contribution to country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MOST IMPORTANT CONTRIBUTION 2 IMPORTANT CONTRIBUTION 3 SOME CONTRIBUTION 4 LITTLE POSITIVE CONTRIBUTION 8 DK 9 NA	2455
OTHLANG	Label: Can R speak language other than English/Spanish Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2456
OTHLANG1	Label: What other languages Does R speak Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 1 ENGLISH 2 SPANISH 3 POLISH 4 FRENCH 5 HEBREW 6 RUSSIAN 7 TAGALOG 8 CHINESE 9 URDU 10 ITALIAN 11 ROMANIAN 12 GERMAN 13 PASHTU 14 CHAMORRO 15 UKRANIAN 16 HUNGARIAN 17 TURKISH 18 KHMER 19 KOREAN 20 NAVAJO 21 MALAYAM 22 ARABIC 23 FARSI-PERSIAN 24 SERBIAN 25 LITHUANIAN 27 THAI 28 GUJARATI 30 DARI 31 SLOVAK 32 JAPANESE 33 PORTUGUESE 34 VAJUN 35 YIDDISH 36 CREOLE 37 VIETNAMESE 38 NORWEGIAN 39 MALAYSIAN 40 LATIN 41 CZECH 42 HINDI 43 HAKKA 44 SWEDISH 45 VESAYA 46 SIGN LANGUAGE 47 TONGAN 48 ARMENIAN 49 IBO 50 DUTCH 51 CHEROKEE 52 SAMOAN 53 YORUBA 54 GREEK 55 LAKOTA 56 AFRICAN 57 ANISHNABEE 58 ILOKAND 59 ASSYRIAN 60 DANISH 61 LAOTIAN 62 FINNISH 63 MOHAWK 64 AMHARIC 65 BENGALI 66 ORIYA 67 HAWAIIAN 68 Albanian 69 HMONG 70 INDONESIAN 71 SWAHILI 72 TELUGU 73 KANNADA 74 BULGARIAN 75 GUARANI 76 BOSNIAN 77 PUNJABI 78 LATVIAN 79 BASQUE 80 BICOL 81 CROATIAN 82 TIGAN GYPSY 83 SLOVENIAN 84 BELGIAN 85 MANDINGO 86 JAMAICAN 87 SOMALI 88 NATIVE AMERIAN 89 TAGRINGA 90 KRIO 91 INDIAN 92 CEBUANO 93 Macedonian 94 PATOIS 95 PANGASINAN 96 Ilocano 97 MARATHI 98 KASHMIRI/CASHMIRI 99 TAMIL 100 Akan 101 Ethiopian 102 Georgian 103 Yugoslavian 104 Irish 105 Catalan 106 Mixtec 107 Garifuna 108 Fang 109 Apache 110 Bassa 111 Efik 112 Twi 113 Maltese 114 Zuni 115 Ga 116 Mina 117 Surinamese 118 Yaqui 119 Quichoa 120 Tok Pisin 121 Pima 122 Lingala 123 Otomi 124 Chindali 125 Tibetan 126 Oromo 127 Nepali 128 Eskimo 129 Mam 130 Choctaw 131 Ashanti 132 Burmese 133 Hewa 134 Sango 135 Chitumbuka 136 Maratsi 137 Yemba 138 Kiche 139 Fante 140 Sinhalase 141 Icelandic 142 Maricopa 143 Quechan 144 Pohnpeian 145 Luganda 146 Shona 147 Urhobo 148 Colville Tribe 149 Chickasau 150 Dakota 151 Hokkien 152 Wolof 153 Ewe 154 Igbo 155 Luhya 156 Black Feet 998 DK 999 NA	2457
OTHLANG2	Label: What other languages Does R speak Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 1 ENGLISH 2 SPANISH 3 POLISH 4 FRENCH 5 HEBREW 6 RUSSIAN 7 TAGALOG 8 CHINESE 9 URDU 10 ITALIAN 11 ROMANIAN 12 GERMAN 13 PASHTU 14 CHAMORRO 15 UKRANIAN 16 HUNGARIAN 17 TURKISH 18 KHMER 19 KOREAN 20 NAVAJO 21 MALAYAM 22 ARABIC 23 FARSI-PERSIAN 24 SERBIAN 25 LITHUANIAN 27 THAI 28 GUJARATI 30 DARI 31 SLOVAK 32 JAPANESE 33 PORTUGUESE 34 VAJUN 35 YIDDISH 36 CREOLE 37 VIETNAMESE 38 NORWEGIAN 39 MALAYSIAN 40 LATIN 41 CZECH 42 HINDI 43 HAKKA 44 SWEDISH 45 VESAYA 46 SIGN LANGUAGE 47 TONGAN 48 ARMENIAN 49 IBO 50 DUTCH 51 CHEROKEE 52 SAMOAN 53 YORUBA 54 GREEK 55 LAKOTA 56 AFRICAN 57 ANISHNABEE 58 ILOKAND 59 ASSYRIAN 60 DANISH 61 LAOTIAN 62 FINNISH 63 MOHAWK 64 AMHARIC 65 BENGALI 66 ORIYA 67 HAWAIIAN 68 Albanian 69 HMONG 70 INDONESIAN 71 SWAHILI 72 TELUGU 73 KANNADA 74 BULGARIAN 75 GUARANI 76 BOSNIAN 77 PUNJABI 78 LATVIAN 79 BASQUE 80 BICOL 81 CROATIAN 82 TIGAN GYPSY 83 SLOVENIAN 84 BELGIAN 85 MANDINGO 86 JAMAICAN 87 SOMALI 88 NATIVE AMERIAN 89 TAGRINGA 90 KRIO 91 INDIAN 92 CEBUANO 93 Macedonian 94 PATOIS 95 PANGASINAN 96 Ilocano 97 MARATHI 98 KASHMIRI/CASHMIRI 99 TAMIL 100 Akan 101 Ethiopian 102 Georgian 103 Yugoslavian 104 Irish 105 Catalan 106 Mixtec 107 Garifuna 108 Fang 109 Apache 110 Bassa 111 Efik 112 Twi 113 Maltese 114 Zuni 115 Ga 116 Mina 117 Surinamese 118 Yaqui 119 Quichoa 120 Tok Pisin 121 Pima 122 Lingala 123 Otomi 124 Chindali 125 Tibetan 126 Oromo 127 Nepali 128 Eskimo 129 Mam 130 Choctaw 131 Ashanti 132 Burmese 133 Hewa 134 Sango 135 Chitumbuka 136 Maratsi 137 Yemba 138 Kiche 139 Fante 140 Sinhalase 141 Icelandic 142 Maricopa 143 Quechan 144 Pohnpeian 145 Luganda 146 Shona 147 Urhobo 148 Colville Tribe 149 Chickasau 150 Dakota 151 Hokkien 152 Wolof 153 Ewe 154 Igbo 155 Luhya 156 Black Feet 998 DK 999 NA	2458
OTHBEST	Label: What language other than English Does R speak b Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 1 ENGLISH 2 SPANISH 3 POLISH 4 FRENCH 5 HEBREW 6 RUSSIAN 7 TAGALOG 8 CHINESE 9 URDU 10 ITALIAN 11 ROMANIAN 12 GERMAN 13 PASHTU 14 CHAMORRO 15 UKRANIAN 16 HUNGARIAN 17 TURKISH 18 KHMER 19 KOREAN 20 NAVAJO 21 MALAYAM 22 ARABIC 23 FARSI-PERSIAN 24 SERBIAN 25 LITHUANIAN 27 THAI 28 GUJARATI 30 DARI 31 SLOVAK 32 JAPANESE 33 PORTUGUESE 34 VAJUN 35 YIDDDISH 36 CREOLE 37 VIETNAMESE 38 NORWEGIAN 39 MALAYSIAN 40 LATIN 41 CZECH 42 HINDU 43 HAKKA 44 SWEDISH 45 VESAYA 46 SIGN LANGUAGE 47 TONGAN 48 ARMENIAN 49 IBO 50 DUTCH 51 CHEROKEE 52 SAMOAN 53 YORUBA 54 GREEK 55 LAKOTA 56 AFRICAN 57 ANISHNABEE 58 ILOKAND 59 ASSYRIAN 60 DANISH 61 LAOTIAN 62 FINNISH 63 MOHAWK 64 AMHARIC 65 BANGLADESH 66 ORIYA 67 HAWAIIAN 69 HMONG 70 INDONESIAN 71 SWAHILI 72 TELUGU 73 KANNADA 74 BULGARIAN 75 GUARANI 76 BOSNIAN 77 PUNJABI 78 LATAVAIN 79 BASQUE 80 BICOL 81 CROATIAN 82 TIGAN GYPSY 83 SLOVENIAN 84 BELGIAN 85 MANDINGO 86 JAMACA 87 SOMALI 88 NATIVE AMERIAN 89 TAGRINGA 90 KRIO 91 INDIAN 92 CEBUANO 93 Macedonian 94 PATOIS 95 PANGASINAN 96 Ilocano 97 MARATHI 98 KASHMIRI/CASHMIRI 99 TAMIL 998 DK 999 NA	2459
SPKLANG	Label: How well Does R speak other language Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY WELL 2 WELL 3 NOT WELL 4 POORLY/HARDLY AT ALL 8 DK 9 NA	2460
USELANG	Label: How often Does R use language other than English Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 LESS THAN ONCE A WEEK 3 ONCE A WEEK 4 SEVERAL TIMES A WEEK 5 ONCE A DAY 6 SEVERAL TIMES A DAY 8 DK 9 NA	2461
GETLANG	Label: Where did R learn other language Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CHILDHOOD HOME 2 SCHOOL 3 ELSEWHERE 8 DK 9 NA	2462
PARLANG	Label: R's parents speak other language at home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2463
GRANLANG	Label: R's grandparents speak other language at home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2464
LANGCOM	Label: How often are other languages heard in community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 LESS THAN ONCE A WEEK 3 ONCE A WEEK 4 SEVERAL TIMES A WEEK 5 ONCE A DAY 6 SEVERAL TIMES A DAY 8 DK 9 NA	2465
LANGWRK	Label: How often are other languages heard at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 ONCE A DAY 3 SEVERAL TIMES A DAY 4 LESS THAN ONCE A WEEK 5 ONCE A WEEK 6 SEVERAL TIMES A WEEK 8 DK 9 NA	2466
ENGOFF1	Label: English official language of U.S. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAVOR 2 OPPOSE 8 DK 9 NA	2467
TWOLANG	Label: Children should learn other language in high sc Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	2468
NOBILING	Label: Bilingual education should be abolished Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	2469
ENGUNITE	Label: English unites all Americans Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	2470
FORLANG1	Label: Learning foreign language important math and s Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	2471
ENGTHRTN	Label: English threatened by languages spoken by immig Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	2472
ENGVOTE	Label: Ballots should offered other languages than eng Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	2473
OTHHOME	Label: R speaks other language at home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	2474
BETRLANG	Label: Which language R speaks more fluent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LANGUAGE 1 2 LANGUAGE 2 8 DONT KNOW 9 NO ANSWER	2475
SPKLANGW	Label: How well R speaks the language in betrlang Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 2 Well 3 Not well 4 Poor or hardly at all 8 DONT KNOW 9 NO ANSWER	2476
LETINHSP	Label: Immigration from Latin America should be increased Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 INCREASED A LOT 2 INCREASED A LITTLE 3 LEFT THE SAME AS IT IS NOW 4 DECREASED A LITTLE 5 DECREASED A LOT 8 DK 9 NA	2477
LETINASN	Label: Immigration from Asia should be increased Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 INCREASED A LOT 2 INCREASED A LITTLE 3 LEFT THE SAME AS IT IS NOW 4 DECREASED A LITTLE 5 DECREASED A LOT 8 DK 9 NA	2478
LETINEUR	Label: Immigration from Europe should be increased Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 INCREASED A LOT 2 INCREASED A LITTLE 3 LEFT THE SAME AS IT IS NOW 4 DECREASED A LITTLE 5 DECREASED A LOT 8 DK 9 NA	2479
IMMCRMUP	Label: More immigrants cause higher crime rates Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	2480
IMMNEW	Label: More immigrants open country new ideas and cult Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	2481
IMMNOJOB	Label: Immigrants cause American to lose jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA	2482
USWHT	Label: What percentage of population is white Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2483
USBLK	Label: What percentage of population is black Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2484
USJewS	Label: What percentage of population is Jewish Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2485
USHISP	Label: What percentage of population is Hispanic Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2486
USASN	Label: What percentage of population is Asian Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2487
USAMIND	Label: What percentage of population is American India Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2488
USMIXED	Label: What percentage of population is of mixed heritage Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2489
WHTCHNG	Label: Percentage change population of whites in 25 yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 INCREASE A LOT 2 INCREASE BY A LITTLE 3 STAY THE SAME 4 DECREASE BY A LITTLE 5 DECREASE BY A LOT 8 DK 9 NA	2490
BLKCHNG	Label: Percentage change population of blacks in 25 yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 INCREASE A LOT 2 INCREASE BY A LITTLE 3 STAY THE SAME 4 DECREASE BY A LITTLE 5 DECREASE BY A LOT 8 DK 9 NA	2491
JewSCHNG	Label: Percentage change population of Jews in 25 yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 INCREASE A LOT 2 INCREASE BY A LITTLE 3 STAY THE SAME 4 DECREASE BY A LITTLE 5 DECREASE BY A LOT 8 DK 9 NA	2492
HISPCHNG	Label: Percentage change population of Hispanics in 25 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 INCREASE A LOT 2 INCREASE BY A LITTLE 3 STAY THE SAME 4 DECREASE BY A LITTLE 5 DECREASE BY A LOT 8 DK 9 NA	2493
ASNCHNG	Label: Percentage change population of Asians in 25 yr Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 INCREASE A LOT 2 INCREASE BY A LITTLE 3 STAY THE SAME 4 DECREASE BY A LITTLE 5 DECREASE BY A LOT 8 DK 9 NA	2494
ETHCHNG	Label: Ethnic change in 25 yrs good for country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY GOOD THING 2 GOOD THING 3 NEITHER GOOD NOR BAD 4 BAD THING 5 VERY BAD THING 8 DK 9 NA	2495
COMWHT	Label: Percentage white living in R's community Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2496
COMBLK	Label: Percentage black living in R's community Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2497
COMJewS	Label: Percentage Jews living in R's community Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2498
COMHISP	Label: Percentage Hispanic living in R's community Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2499
COMASN	Label: Percentage Asian living in R's community Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2500
COMAMIND	Label: Percentage American Indian living in R's community Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2501
HISPWORK	Label: How many people Hispanic at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL HISPANIC 2 ALMOST ALL HISPANIC 3 MOST HISPANIC 4 ABOUT HALF HISPANIC 5 MOST NOT HISPANIC 6 ALMOST NON HISPANIC 7 NONE HISPANIC 8 DK 9 NA	2502
KNWWHT	Label: Does R Personally any whites Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2503
KNWBLK	Label: Does R Personally any blacks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2504
KNWJew	Label: Does R Personally any Jews Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2505
KNWHISP	Label: Does R Personally any Hispanics Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2506
KNWASN	Label: Does R Personally any Asians Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2507
WHTSCHL	Label: Does R know whites from school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2508
WHTCOM	Label: Does R know whites from community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2509
WHTREL	Label: Does R know whites as relative Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2510
WHTWRK	Label: Does R know whites from work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2511
WHTCLS	Label: Does R feel close to whites Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2512
BLKSCHL	Label: Does R know blacks from school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2513
BLKCOM	Label: Does R know blacks from community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2514
BLKREL	Label: Does R know blacks as relative Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2515
BLKWRK	Label: Does R know blacks from work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2516
BLKCLS	Label: Does R feel close to blacks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2517
JewSSCHL	Label: Does R know Jews from school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2518
JewSCOM	Label: Does R know Jews from community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2519
JewSREL	Label: Does R know Jews as relative Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2520
JewSWRK	Label: Does R know Jews from work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2521
JewSCLS	Label: Does R feel close to Jews Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2522
HISPSCHL	Label: Does R know Hispanics from school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2523
HISPCOM	Label: Does R know Hispanics from community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2524
HISPREL	Label: Does R know Hispanics as relative Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2525
HISPWRK	Label: Does R know Hispanics from work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2526
HISPCLS	Label: Does R feel close to Hispanics Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2527
ASNSCHL	Label: Does R know Asians from school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2528
ASNCOM	Label: Does R know Asians from community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2529
ASNREL	Label: Does R know Asians as relative Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2530
ASNWRK	Label: Does R know Asians from work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2531
ASNCLS	Label: Does R feel close to Asians Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2532
MOSTCOM	Label: Have most in common with which group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WHITES 2 BLACKS/AFRICAN-AMERICANS 3 JEWS 4 HISPANICS 5 ASIANS 6 EQUAL IN COMMON TO ALL 7 NOTHING IN COMMON WITH ANY 8 DK 9 NA	2533
LEASTCOM	Label: Have least in common with which group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WHITES 2 BLACKS/AFRICAN-AMERICANS 3 JEWS 4 HISPANICS 5 ASIANS 6 EQUAL IN COMMON TO ALL 7 NOTHING IN COMMON WITH ANY 8 DK 9 NA	2534
NEIETH1	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2535
NEIETH2	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2536
NEIETH3	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2537
NEIETH4	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2538
NEIETH5	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2539
NEIETH6	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2540
NEIETH7	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2541
NEIETH8	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2542
NEIETH9	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2543
NEIETH10	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2544
NEIETH11	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2545
NEIETH12	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2546
NEIETH13	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2547
NEIETH14	Label: Preferred ethnic neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 DOESNT MATTER-DONT CARE-RACE NOT IMPORTANT 6 RURAL-WANTS NO NEIGHBORS 7 MIXED RACE, 2 OR MORE RACES IN 1 HH 8 DK 9 NA	2548
HSWHT	Label: High school mostly white Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL WHITE 2 MOSTLY WHITE 3 ABOUT HALF WHITE AND HALF OTHER RACES 4 MOSTLY OTHER RACES 5 ALL OTHER RACES 6 NOT ALL WHITE 8 DK 9 NA	2549
HSETH	Label: Largest non white ethnic group in high school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BLACKS/AFRICAN-AMERICANS 2 HISPANICS 3 ASIANS 4 AMERICAN INDIANS 5 ALL, MIXED 6 2 OR MORE GROUPS 8 DK 9 NA	2550
COMPUSE	Label: R use computer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2551
WEBTV	Label: R has internet via webTV Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2552
WEBMOB	Label: R uses home internet through mobile device Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DON'T KNOW 9 No answer	2553
EMAILMIN	Label: Email minutes per week Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2554
EMAILHR	Label: Email hours per week Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2555
USEWWW	Label: R use www other than email Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2556
WWWHR	Label: Www hours per week Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2557
WWWMIN	Label: Www minutes per week Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2558
CHATHR	Label: Chatroom hours per week Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2559
CHATMIN	Label: Chatroom minutes per week Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2560
DRCTLINK	Label: How often R links from homepage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 LESS THAN HALF OF THE TIME 3 ABOUT HALF OF THE TIME 4 MORE THAN HALF OF THE TIME 5 ALMOST ALWAYS 8 DK 9 NA	2561
TYPEURL	Label: How often R types URLs by self Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 LESS THAN HALF OF THE TIME 3 ABOUT HALF OF THE TIME 4 MORE THAN HALF OF THE TIME 5 ALMOST ALWAYS 8 DK 9 NA	2562
SRCHENG	Label: How often R uses search engine Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 LESS THAN HALF OF THE TIME 3 ABOUT HALF OF THE TIME 4 MORE THAN HALF OF THE TIME 5 ALMOST ALWAYS 8 DK 9 NA	2563
BOOKMARK	Label: How often R uses bookMarks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 LESS THAN HALF OF THE TIME 3 ABOUT HALF OF THE TIME 4 MORE THAN HALF OF THE TIME 5 ALMOST ALWAYS 8 DK 9 NA	2564
CATDRCTY	Label: How often R uses web directories Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 LESS THAN HALF OF THE TIME 3 ABOUT HALF OF THE TIME 4 MORE THAN HALF OF THE TIME 5 ALMOST ALWAYS 8 DK 9 NA	2565
HYPERLNK	Label: How often R uses links in other sites Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 LESS THAN HALF OF THE TIME 3 ABOUT HALF OF THE TIME 4 MORE THAN HALF OF THE TIME 5 ALMOST ALWAYS 8 DK 9 NA	2566
EMAILLNK	Label: How often does R link in an email from friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Never 2 Less than half of the time 3 About half of the time 4 More than half of the time 5 Almost always 8 DONT KNOW 9 NO ANSWER	2567
FIN30	Label: R use financial information site in past 30 day Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2568
SCHL30	Label: R use school site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2569
EDUC30	Label: R use education site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2570
WORK30	Label: R use work site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2571
NEWS30	Label: R use news site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2572
GOVT30	Label: R use govt site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2573
POL30	Label: R use political information site in past 30 day Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2574
TRAVEL30	Label: R use travel site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2575
SPORTS30	Label: R use sports site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2576
MUSIC30	Label: R use music site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2577
ART30	Label: R use art site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2578
TVMOV30	Label: R use movie site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2579
HEALTH30	Label: R use health site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2580
RELIG30	Label: R use religion site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2581
GAMES30	Label: R use game site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2582
HUMOR30	Label: R use humor site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2583
PORN30	Label: R use pornographic site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2584
PERSON30	Label: R use Personal website in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2585
SCI30	Label: R use science site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2586
HOBBY30	Label: R use hobby site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2587
COOK30	Label: R use cooking site in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 3-5 TIMES 4 MORE THAN 5 TIMES 8 DK 9 NA	2588
WORK12	Label: R use web for work in past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2589
HMEFIN12	Label: R use web for home finances in past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2590
BUYINF12	Label: R use web for product information in past 12 mo Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2591
BUYIT12	Label: R use web to purchase products in past 12 month Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2592
INVEST12	Label: R use web to invest money in past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2593
PEOPLE12	Label: R use web to meet new people in past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2594
HEALTH12	Label: R use web for health information in past 12 mon Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2595
TRAVEL12	Label: R use web for travel in past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2596
LOCATE12	Label: R use web to find addresses in past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2597
GAME12	Label: R use web for games in past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2598
NEWJOB12	Label: R use web to look for new job in past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2599
CHAT12	Label: R use web for chatrooms in past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2600
POLINF12	Label: R use web for political information in past 12 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2601
ECON12	Label: Past 12 months R web to learn economy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2602
ABORT12	Label: Past 12 months R web to learn abortion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2603
MORAL12	Label: Past 12 months R web to learn moral issues Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2604
FORAFF12	Label: Past 12 months R web to learn foreign affairs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2605
RACREL12	Label: Past 12 months R web to learn race relations Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2606
ENVIRO12	Label: Past 12 months R web to learn environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2607
POLCAM12	Label: Past 12 months R web to learn pol campaigns Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2608
GUN12	Label: Past 12 months R web to learn gun control Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2609
TAXES12	Label: Past 12 months R web to learn taxes Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2610
FE12	Label: Past 12 months R web to learn gender issues Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2611
NEWS12	Label: Past 12 months R web to learn news Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2612
POLAGREE	Label: Visit political sites R agrees with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not true 8 DONT KNOW 9 NO ANSWER	2613
POLNEUTL	Label: Visit politically neutral sites Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 SOMEWHAT TRUE 3 NOT TRUE 8 DK 9 NA	2614
POLDSAGR	Label: Visit political sites R disagrees with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 SOMEWHAT TRUE 3 NOT TRUE 8 DK 9 NA	2615
PETITION	Label: Web make R sign petition Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2616
CONTACT	Label: Web make R contact elected official Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2617
MEETING	Label: Web make R attend a political meeting Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2618
POLNEW	Label: R learn something new on the web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 CANT RECALL 9 NA	2619
VOTEFOR	Label: Web make R decide to vote for a political candidate Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2620
POLCHNGE	Label: Web change R's mind Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2621
POLFORMS	Label: Web help form opinions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 SOMEWHAT TRUE 3 NOT TRUE 8 DK 9 NA	2622
POLCONF	Label: Web help confirm opinions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 SOMEWHAT TRUE 3 NOT TRUE 8 DK 9 NA	2623
POLALTER	Label: Web help change mind Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 SOMEWHAT TRUE 3 NOT TRUE 8 DK 9 NA	2624
POLTOUGH	Label: Web show issues more complicated Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 SOMEWHAT TRUE 3 NOT TRUE 8 DK 9 NA	2625
ARTSMIN	Label: How many minutes at arts websites Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2626
ARTSHR	Label: How many hours at arts websites Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2627
ARTSCHAT	Label: Use chatrooms about arts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	2628
ARTSNEW	Label: R learn something new on web about arts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 CANT RECALL 9 NA	2629
ARTSCHNG	Label: Web change mind about arts on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2630
WWWMUSIC	Label: Use the web to learn about music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2631
MUSICINF	Label: Use web to get music information Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2632
MUSICGET	Label: Use web to download music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2633
MUSICLST	Label: Use web to listen to radio Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2634
MUSICBUY	Label: Use web to buy music after hearing on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2635
WWWCLASS	Label: In last month listen classical music on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 MORE THAN 2 TIMES 8 DK 9 NA	2636
WWWCNTRY	Label: In last month listen country music on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 MORE THAN 2 TIMES 8 DK 9 NA	2637
WWWGTHIC	Label: In last month listen gothic music on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 MORE THAN 2 TIMES 8 DK 9 NA	2638
WWWJAZZ	Label: In last month listen jazz music on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 MORE THAN 2 TIMES 8 DK 9 NA	2639
WWWOLDIE	Label: In last month listen oldies music on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 MORE THAN 2 TIMES 8 DK 9 NA	2640
WWWRAP	Label: In last month listen rap music on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 MORE THAN 2 TIMES 8 DK 9 NA	2641
WWWRELIG	Label: In last month listen religious music on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 MORE THAN 2 TIMES 8 DK 9 NA	2642
WWWROCK	Label: In last month listen rock music on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 MORE THAN 2 TIMES 8 DK 9 NA	2643
WWWWORLD	Label: In last month listen world music on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 1-2 TIMES 3 MORE THAN 2 TIMES 8 DK 9 NA	2644
MUSICLKE	Label: Visit sites about music R likes Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 SOMEWHAT TRUE 3 NOT TRUE 8 DK 9 NA	2645
MUSICDIF	Label: Visit many different types of music Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 SOMEWHAT TRUE 3 NOT TRUE 8 DK 9 NA	2646
MUSICNEW	Label: Visit sites about music not usually heard Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 SOMEWHAT TRUE 3 NOT TRUE 8 DK 9 NA	2647
WWWART	Label: Use web to learn about visual arts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2648
ARTMUS1	Label: Use web to learn about upcoming exhibits Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2649
ARTMUS2	Label: Use web to learn about existing exhibits Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2650
ARTVIEW	Label: Use web to look at art works Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2651
ARTINFO	Label: Use web to find info about artists Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2652
ARTMUS3	Label: Visit museum after learning on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2653
WWWLIT	Label: Use web to learn about literature Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2654
LITSITE	Label: Use web to learn about a book or poem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2655
LITGET	Label: Use web to download poem or fiction Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2656
LITAUTH	Label: Visit site associated with writer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2657
LITREAD	Label: Read book after seeing author on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2658
WWWPERSN	Label: Has R met person on web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2659
WWWSP	Label: Has anyone met on web become spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2660
WWWGFBF	Label: Has anyone met on web become partner Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2661
WWWCOWRK	Label: Has anyone met on web become coworker Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2662
WWWBIZ	Label: Has anyone met on web become business partner Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2663
WWWNEI	Label: Has anyone met on wen become neighbor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2664
WWWFRND	Label: Has anyone met on web become friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2665
WWWVOL	Label: Has anyone met on web become volunteer with R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2666
ONLINE	Label: Has R used online help for software Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2667
MANUAL	Label: Has R consulted manual for help with software Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2668
CALLCOMP	Label: Has R called software company for help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2669
ASKWORK	Label: Has R asked someone at work for help with software Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2670
ASKOTHER	Label: Has R asked someone else for help with software Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2671
PAYOTHER	Label: Has R paid for help with software Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2672
DOONOWN	Label: Has R figured out problems with software on own Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2673
ADVSP	Label: R can ask spouse or partner for software help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2674
ADVCHLD	Label: R can ask son or daughter for software help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2675
ADVPAR	Label: R can ask parent for software help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2676
ADVSIB	Label: R can ask sibling or sibling partner software h Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2677
ADVFAM	Label: R can ask other family members software help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2678
ADVTCHR	Label: R can ask teacher software help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2679
ADVSTU	Label: R can ask other student software help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2680
ADVSUP	Label: R can ask work supervisor software help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2681
ADVCOWRK	Label: R can ask coworker software help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2682
ADVCFRND	Label: R can ask close friend software help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2683
ADVOFRND	Label: R can ask acquaintance software help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2684
ADVLIB	Label: R can ask librarian software help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2685
SRCHENG1	Label: Does R know the name of a search engine Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2686
SRCHENG2	Label: Name of search engine given by R Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 YAHOO 2 LYCOS 3 SEARCH.COM 4 GOPHER 5 ALL THE WEB 6 MSN 7 EBAY 8 INFOSEEK 9 ALTAVISTA 10 EXPLORER 11 NETSCAPE 12 ISEARCH 13 EXCITE 14 AOL 15 JAVA 16 WEBCRAWLER 17 HOTBOT 18 GOOGLE 19 COPERNIC 20 ASK JEEVES 21 IWON 22 DOGPILE 23 STREETVIOLENCE.COM 24 BROWSER 25 NORTHERN LIGHTS 26 WWW.IRS.COM 27 NETFIND 28 KEYSEARCH 29 METACRAWLER 30 UPROAR.COM 31 SIAP 32 GO 33 MYWAY 34 FUSE 35 ESPN 36 USWEST 37 TERRA.COM 38 GOTO.COM 39 BIZRATE 40 FASTSEARCH 41 SHERLOCK 42 LYNCO 43 INFERENCE 44 4ANYTHING 45 NAVISTAR 98 DK 99 NA	2687
DOWNLOAD	Label: Does R know how to download files from www Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2688
UPLOAD	Label: Does R know how to upload files to www Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2689
CMPVIRUS	Label: Does R know what a computer virus is Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2690
HLTHINFO	Label: R sought health information past year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2691
HLTHPAPR	Label: R sought health information newspaper articles Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2692
HLTHMAG1	Label: R sought health information general interest magazines Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2693
HLTHMAG2	Label: R sought health information health magazines Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2694
HLTHDOC	Label: R sought health information doctor or nuR'se Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2695
HLTHFREL	Label: R sought health information friends or relatives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2696
HLTHTV	Label: R sought health information TV or radio Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2697
HLTHWWW	Label: R sought health information www Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2698
POLINFO	Label: R sought political information past 2 years Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3 OR MORE TIMES 8 DK 9 NA	2699
POLPAPR	Label: R sought political information daily newspaper Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3 OR MORE TIMES 8 DK 9 NA	2700
POLMAG1	Label: R sought political info general interest magazines Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3 OR MORE TIMES 8 DK 9 NA	2701
POLMAG2	Label: R sought political information political magazine Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3 OR MORE TIMES 8 DK 9 NA	2702
POLTV	Label: R sought political information TV or radio Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3 OR MORE TIMES 8 DK 9 NA	2703
POLFREL	Label: R sought political information friends or relatives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3 OR MORE TIMES 8 DK 9 NA	2704
POLCAMP	Label: R sought political information political campaign Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3 OR MORE TIMES 8 DK 9 NA	2705
POLWWW	Label: R sought political information www Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3 OR MORE TIMES 8 DK 9 NA	2706
BUYINFGN	Label: R sought information purchase past year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2707
INVESTGN	Label: R invested money past year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2708
TRAVELGN	Label: R made travel reservations past year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2709
PEOPLEGN	Label: R tried to meet new people past year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2710
GAMEGN	Label: R play an indoor game past year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2711
NEWJOBGN	Label: R look for new job past year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2712
POLDISGN	Label: R discuss political views past year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2713
POLINFGN	Label: R sought political information past year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2714
PERFRMGN	Label: R obtain information on performing arts past ye Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2715
ARTGN	Label: R obtain information on art exhibit past year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2716
POLCANGN	Label: R look up views of political candidate for office Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DK 9 NA	2717
NUMCNTCT	Label: How many people in contact least once a year Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 995 UNSPECIFIED, 1 OR MORE 996 TOO MANY TO LIST 998 DK 999 NA	2718
INPERSON	Label: How many people seen in person Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 0 2 1-2 3 3-5 4 6-10 5 11-15 6 16-25 7 26-50 8 50+ 98 DK 99 NA	2719
BYPHONE	Label: How many people talk to on phone Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 0 2 1-2 3 3-5 4 6-10 5 11-15 6 16-25 7 26-50 8 50+ 98 DK 99 NA	2720
LETTERS	Label: How many people write letters to Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 0 2 1-2 3 3-5 4 6-10 5 11-15 6 16-25 7 26-50 8 50+ 98 DK 99 NA	2721
MEETINGS	Label: How many people seen at church or group meeting Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 0 2 1-2 3 3-5 4 6-10 5 11-15 6 16-25 7 26-50 8 50+ 98 DK 99 NA	2722
BYEMAIL	Label: How many people send email Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 0 2 1-2 3 3-5 4 6-10 5 11-15 6 16-25 7 26-50 8 50+ 98 DK 99 NA	2723
COMPHOME	Label: Does R have computer at home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2724
USEHOME	Label: Does R use computer at home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2725
NUMHOME	Label: How many computers at home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label -1 IAP 0 IAP 8 DK 9 NA	2726
WWWHOME	Label: Can R use www at home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2727
PAYWWW	Label: Does employer pay for www Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EMPLOYER PROVIDES INTERNET CONNECTION AT NO CHARGE 2 COVERS SOME BUT NOT ALL OF COST 3 DOES NOT CONTRIBUTE TO COST OF USING INTERNET 8 DK 9 NA	2728
WWWLINE1	Label: Is www through phone line Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REGULAR TELEPHONE LINE 2 OTHER MEANS 8 DK 9 NA	2729
WWWLINE2	Label: Means to www Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SPECIAL HIGH-SPEED TELE LINE (ISDN) CNCTED TO CMPTR 2 CABLE SERVICE LINE CNCTD TO COMPUTER 3 WEB TV LINE, CNCTD TO TV SET 4 MORE THAN ONE TYPE OF CNCTION 5 OTHER, NOT NAMED ABOVE 6 WIRELESS CONNECTION(e.g.FROM A SATELLITE) 8 DK 9 NA	2730
ECOMMINH	Label: Minutes per week use computer household management Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2731
ECOMHRH	Label: Hours per week use computer household management Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2732
PERMINH	Label: Minutes per week use computer Personal interest Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2733
PERHRH	Label: Hours per week use computer Personal interest Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2734
WRKMINH	Label: Minutes per week use computer make money Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2735
WRKHRH	Label: Hours per week use computer make money Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2736
EMMINH	Label: Minutes per week use computer email Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2737
EMHRH	Label: Hours per week use computer email Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2738
WWWMINH	Label: Minutes per week use computer www Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2739
WWWHRH	Label: Hours per week use computer www Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2740
COMPWORK	Label: Does R use computer at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2741
JOBMINW	Label: Minutes per week using work computer job Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2742
JOBHRW	Label: Hours per week using work computer job Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2743
INCMINW	Label: Minutes per week using work computer make money Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2744
INCHRW	Label: Hours per week using work computer make money Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2745
ECOMMINW	Label: Minutes per week using work computer hsehld mng Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2746
ECOMHRW	Label: Hours per week using work computer hsehld mngmn Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2747
PERMINW	Label: Minutes per week using work computer Personal i Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2748
PERHRW	Label: Hours per week using work computer Personal int Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2749
EMMINW	Label: Minutes per week using work computer email Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2750
EMHRW	Label: Hours per week using work computer email Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2751
WWWMINW	Label: Minutes per week using work computer www Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2752
WWWHRW	Label: Hours per week using work computer www Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2753
COMPOTH	Label: Does R use computer not at home or work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2754
COMPSCHL	Label: Does R use computer at school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2755
COMPLIB	Label: Does R use computer at library Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2756
COMPFRI	Label: Does R use computer at friends house Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2757
COMPELSE	Label: Does R use computer somewhere else Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2758
MOSTLOC	Label: Where Does R use computer most Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SCHOOL 2 LIBRARY 3 FRIENDS HOUSE 4 OTHER 8 DK 9 NA	2759
ECOMMINO	Label: Minutes per week using other computer hsehld mn Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2760
ECOMHRO	Label: Hours per week using other computer hsehld mngm Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2761
PERMINO	Label: Minutes per week using other computer Personal Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2762
PERHRO	Label: Hours per week using other computer Personal in Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2763
WRKMINO	Label: Minutes per week using other computer make money Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2764
WRKHRO	Label: Hours per week using other computer make money Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2765
EMMINO	Label: Minutes per week using other computer email Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2766
EMHRO	Label: Hours per week using other computer email Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2767
WWWMINO	Label: Minutes per week using other computer www Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	2768
WWWHRO	Label: Hours per week using other computer www Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2769
EMSENT	Label: How many email messages sent per day Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2770
EMSENTP	Label: How many personal email messages sent per day Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2771
EMGET	Label: How many email messages received per day Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2772
EMGETP	Label: How many personal messages received per day Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2773
EMWRKLOC	Label: R send or receive to or from coworkers Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2774
EMWRKAWY	Label: R send or receive to or from business contacts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2775
EMFAMLOC	Label: R send or receive to or from family members at Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2776
EMFAMOTH	Label: R send or receive to or from other family members Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2777
EMFRI	Label: R send or receive to or from friends Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2778
EMCHURCH	Label: R send or receive to or from church members Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2779
EMGROUPS	Label: R send or receive to or from group members Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2780
INTUSE	Label: Use internet/apps more than occassionally Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2781
INTSTART	Label: Year starting to use internet/apps Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	2782
INTMBILE	Label: Use internet/apps from phone or tablet Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2783
INTRECNT	Label: Used internet/apps yesterday Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, used Internet yesterday 2 No, did not use Internet yesterday 8 DK 9 NA	2784
TWITTER	Label: Use Twitter Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2785
FACEBOOK	Label: Use Facebook Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2786
INSTAGRM	Label: Use Instagrm Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2787
LINKEDIN	Label: Use Linkedin Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2788
SNAPCHAT	Label: Use Snapchat Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2789
TUMBLR	Label: Use Tumblr Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2790
WHATSAPP	Label: Use Whatsapp Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2791
GOOGLESN	Label: Use Googlesn Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2792
PINTERST	Label: Use Pinterest Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2793
FLICKR	Label: Use Flickr Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2794
VINE	Label: Use Vine Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2795
CLSSMTES	Label: Use Clssmtes Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2796
SNSMOTH1	Label: Do you use any other social networks Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	2797
SNSMOT2A	Label: First other social network Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Youtube 2 Myspace 3 Reddit 4 Viber 5 Line 6 Plenty of Fish 7 Kik 8 Ravelry 9 WeChat 11 IMO 12 Online Dating Sites 13 Spotify 14 GroupMe 15 Tinder 16 Hangouts 17 ResearchGate 18 Online Gaming 19 Yahoo 30 Other Social Networks 40 Not a Social Network 98 DK 99 NA	2798
SNSMOT2B	Label: Second other social network Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Youtube 2 Myspace 3 Reddit 4 Viber 5 Line 6 Plenty of Fish 7 Kik 8 Ravelry 9 WeChat 11 IMO 12 Online Dating Sites 13 Spotify 14 GroupMe 15 Tinder 16 Hangouts 17 ResearchGate 18 Online Gaming 19 Yahoo 30 Other Social Networks 40 Not a Social Network 98 DK 99 NA	2799
SNSMOT2C	Label: Third other social network Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Youtube 2 Myspace 3 Reddit 4 Viber 5 Line 6 Plenty of Fish 7 Kik 8 Ravelry 9 WeChat 11 IMO 12 Online Dating Sites 13 Spotify 14 GroupMe 15 Tinder 16 Hangouts 17 ResearchGate 18 Online Gaming 19 Yahoo 30 Other Social Networks 40 Not a Social Network 98 DK 99 NA	2800
SNSMNEW	Label: Which social network did you join most recently Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Twitter 2 Facebook 3 Instagram 4 Linkedin 5 Snapchat 6 Tumblr 7 WhatsApp 8 Google+ - Google's social network platform 9 Pinterest 10 Flickr 11 Vine 12 Classmates 13 Youtube 14 Myspace 15 Reddit 16 Viber 17 Line 18 Plenty of Fish 19 Kik 20 Ravelry 22 WeChat 23 IMO 24 Online Dating Sites 25 Spotify 26 GroupMe 27 Tinder 28 Hangouts 29 ResearchGate 30 Online Gaming 31 Yahoo 32 Other Social Networks 33 Not a Social Network 98 DK 99 NA	2801
SNSMYEAR	Label: Year first joined sns Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	2802
SNSMFRST	Label: Which social network did you join first Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Twitter 2 Facebook 3 Instagram 4 Linkedin 5 Snapchat 6 Tumblr 7 WhatsApp 8 Google+ - Google's social network platform 9 Pinterest 10 Flickr 11 Vine 12 Classmates 13 Youtube 14 Myspace 15 Reddit 16 Viber 17 Line 18 Plenty of Fish 19 Kik 20 Ravelry 22 WeChat 23 IMO 24 Online Dating Sites 25 Spotify 26 GroupMe 27 Tinder 28 Hangouts 29 ResearchGate 30 Online Gaming 31 Yahoo 32 Other Social Networks 33 Not a Social Network 98 DK 99 NA	2803
INTWKDYM	Label: Minutes of internet use on weekdays Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -3 NA -2 DON'T KNOW -1 IAP 98 DK 99 NA	2804
INTWKDYH	Label: Hours of internet use on weekdays Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -3 NA -2 DON'T KNOW -1 IAP 98 DK 99 NA	2805
INTWKENM	Label: Minutes of internet use on weekends Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -3 NA -2 DON'T KNOW -1 IAP 98 DK 99 NA	2806
INTWKENH	Label: Hours of internet use on weekends Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -3 NA -2 DON'T KNOW -1 IAP 98 DK 99 NA	2807
NUMPROBS	Label: How many friends close to discuss problems Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 96 96 OR HIGHER 98 DONT KNOW 99 NO ANSWER	2808
BYEMPROB	Label: How many friends discuss problems via email Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 96 96 OR HIGHER 98 DONT KNOW 99 NO ANSWER	2809
INTACCSS	Label: Does R have internet through cell phone or pda Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2810
JOBINFO	Label: R sought employment info past year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DONT KNOW 9 NO ANSWER	2811
JOBPAPER	Label: Times R sought job information from newspaper Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DONT KNOW 9 NO ANSWER	2812
JOBPUB	Label: Times R sought job information from publication Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DONT KNOW 9 NO ANSWER	2813
JOBCOWRK	Label: Times R sought job information from co-workers Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DONT KNOW 9 NO ANSWER	2814
JOBCNTCT	Label: Times R sought job information from contact outside Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DONT KNOW 9 NO ANSWER	2815
JOBFRNDS	Label: Times R sought job information from friends Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DONT KNOW 9 NO ANSWER	2816
JOBPLACE	Label: Times R sought job information from counseling service Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DONT KNOW 9 NO ANSWER	2817
JOBTVRAD	Label: Times R sought job information from radio or TV Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DONT KNOW 9 NO ANSWER	2818
JOBONWWW	Label: Times R sought job information from internet Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 1 OR 2 TIMES 2 3-5 TIMES 3 6 OR MORE TIMES 8 DONT KNOW 9 NO ANSWER	2819
EMAILYR	Label: When R first began using email Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 This year (2002) 2 In the last year (2001) 3 1-2 years ago (2000) 4 2-3 years ago (1999) 5 3-4 years ago (1998) 6 4-5 years ago (1997) 7 5 or more years ago (1990-1996) 8 DONT KNOW 9 NO ANSWER	2820
WEBYR	Label: When R first began using web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 This year 2 In the last year 3 1-2 years ago 4 2-3 years ago 5 3-4 years ago 6 4-5 years ago 7 5 or more years ago 8 DONT KNOW 9 NO ANSWER	2821
WEBABLE	Label: R's ability to use internet Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Excellent 2 Good 3 Fair 4 Poor 5 Very poor 8 DONT KNOW 9 NO ANSWER	2822
MANBOOK	Label: R consulted manual for help with web Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2823
CUSSUP	Label: R called software company Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2824
TECSUP	Label: Called tech support at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2825
ASKWKSCH	Label: R figured out problems with web on own Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2826
ASKELSE	Label: R asked someone else for help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2827
PAYELSE	Label: R has paid for help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2828
DOSELF	Label: R figured out problems with web on own Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2829
PROCESSR	Label: R knows what a processor is Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 The size of the hard drive 2 The speed of the hard drive 3 The type of microprocessor 8 DONT KNOW 9 NO ANSWER	2830
BROWSER1	Label: R knows what an internet web browser is Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2831
BROWSER2	Label: Can R give the name of a web browser Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2832
BROWSER3	Label: R specify name of web browser Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 EXPLORER 2 NETSCAPE 3 EXCITE 4 MSN 5 AOL 6 GOOGLE 7 YAHOO 8 EARTHLINK 9 LYCOS 10 COMPUSERVE 11 BONZI 12 GOTO 13 ALTAVISTA 14 HOTBOT 15 SIAP 16 MINDSPRING 17 DOGPILE 18 PRODIGY 19 ASK JEEVES 20 DSL 21 NETRAX 22 WEBCORNER 23 MOZILLA 24 EVERYONESINTERNET 25 MAMMA 26 DOGPATCH 27 OTHER 98 DK 99 NA	2833
ADVSRCH	Label: How familiar R is with term advanced search Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very familiar 2 Somewhat familiar 3 Not familiar 8 DONT KNOW 9 NO ANSWER	2834
MP3	Label: How familiar R is with term mp3 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very familiar 2 Somewhat familiar 3 Not familiar 8 DONT KNOW 9 NO ANSWER	2835
EZINES	Label: How familiar R is with term e-zines Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very familiar 2 Somewhat familiar 3 Not familiar 8 DONT KNOW 9 NO ANSWER	2836
PREFSETS	Label: How familiar R is with term preference settings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very familiar 2 Somewhat familiar 3 Not familiar 8 DONT KNOW 9 NO ANSWER	2837
NEWSGRPS	Label: How familiar R is with term newsgroups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very familiar 2 Somewhat familiar 3 Not familiar 8 DONT KNOW 9 NO ANSWER	2838
TIMEKID1	Label: Time R spends with child 1 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH 2 ABOUT THE RIGHT AMOUNT 3 TOO LITTLE 8 DK 9 NA	2839
TIMEKID2	Label: Time R spends with child 2 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH 2 ABOUT THE RIGHT AMOUNT 3 TOO LITTLE 8 DK 9 NA	2840
TIMEKID3	Label: Time R spends with child 3 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH 2 ABOUT THE RIGHT AMOUNT 3 TOO LITTLE 8 DK 9 NA	2841
TIMEKID4	Label: Time R spends with child 4 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH 2 ABOUT THE RIGHT AMOUNT 3 TOO LITTLE 8 DK 9 NA	2842
SPTMKID1	Label: Time spouse spends with child 1 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH 2 ABOUT THE RIGHT AMOUNT 3 TOO LITTLE 8 DK 9 NA	2843
SPTMKID2	Label: Time spouse spends with child 2 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH 2 ABOUT THE RIGHT AMOUNT 3 TOO LITTLE 8 DK 9 NA	2844
SPTMKID3	Label: Time spouse spends with child 3 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH 2 ABOUT THE RIGHT AMOUNT 3 TOO LITTLE 8 DK 9 NA	2845
SPTMKID4	Label: Time spouse spends with child 4 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH 2 ABOUT THE RIGHT AMOUNT 3 TOO LITTLE 8 DK 9 NA	2846
KDTMKID1	Label: Time child 1 spends with R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH 2 ABOUT THE RIGHT AMOUNT 3 TOO LITTLE 8 DK 9 NA	2847
KDTMKID2	Label: Time child 2 spends with R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH 2 ABOUT THE RIGHT AMOUNT 3 TOO LITTLE 8 DK 9 NA	2848
KDTMKID3	Label: Time child 3 spends with R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH 2 ABOUT THE RIGHT AMOUNT 3 TOO LITTLE 8 DK 9 NA	2849
KDTMKID4	Label: Time child 4 spends with R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOO MUCH 2 ABOUT THE RIGHT AMOUNT 3 TOO LITTLE 8 DK 9 NA	2850
KNOWKID1	Label: R knows what child is doing on weekend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST ALL OF THE TIME 2 MOST OF THE TIME 3 ABOUT HALF OF THE TIME 4 SOME OF THE TIME 5 HARDLY ANY OF THE TIME 8 DK 9 NA	2851
KNOWKID2	Label: R knows what child is doing on weekend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST ALL OF THE TIME 2 MOST OF THE TIME 3 ABOUT HALF OF THE TIME 4 SOME OF THE TIME 5 HARDLY ANY OF THE TIME 8 DK 9 NA	2852
KNOWKID3	Label: R knows what child is doing on weekend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST ALL OF THE TIME 2 MOST OF THE TIME 3 ABOUT HALF OF THE TIME 4 SOME OF THE TIME 5 HARDLY ANY OF THE TIME 8 DK 9 NA	2853
KNOWKID4	Label: R knows what child is doing on weekend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST ALL OF THE TIME 2 MOST OF THE TIME 3 ABOUT HALF OF THE TIME 4 SOME OF THE TIME 5 HARDLY ANY OF THE TIME 8 DK 9 NA	2854
HUCLEAN	Label: R HU interior cleanliness rating Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY CLEAN 2 CLEAN 3 SO-SO 4 NOT VERY CLEAN 5 DIRTY 6 INTERVIEWER NEVER SAW THE INTERIOR OF THE RESPONDENT'S HU 8 DON'T KNOW 9 NO ANSWER	2855
HOMEBAND	Label: How home is connected to www Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 TELEPHONE LINE 2 DSL 3 CABLE 4 SATELLITE 5 WIRELESS 6 CELLPHONE 7 OTHER 8 NOT AT ALL 9 DK NA	2856
FREEMNS1	Label: What does freedom mean to you Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98 Value Label 0 IAP 1 WANT:DOING WHAT I WANT 2 AUTONOMY:SELF-REALIZATION 3 CHOICES:MAKING DECISION 4 RIGHTS:RELIGION AND SPEECH 5 MOVEMENT:MOVEMENT AND TRAVEL 6 NEGATIVE:SLAVE SURBORDINATE DISCRIMINATION 7 CITIZEN:POLITICAL PARTICIPATION 8 SECURITY:ECONOMIC INDEPENDENCE 9 OTHER 98 DONT KNOW	2857
FREEMNS2	Label: What does freedom mean to you Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98 Value Label 0 IAP 1 WANT:DOING WHAT I WANT 2 AUTONOMY:SELF-REALIZATION 3 CHOICES:MAKING DECISION 4 RIGHTS:RELIGION AND SPEECH 5 MOVEMENT:MOVEMENT AND TRAVEL 6 NEGATIVE:SLAVE SURBORDINATE DISCRIMINATION 7 CITIZEN:POLITICAL PARTICIPATION 8 SECURITY:ECONOMIC INDEPENDENCE 9 OTHER 98 DONT KNOW	2858
FREEMNS3	Label: What does freedom mean to you Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98 Value Label 0 IAP 1 WANT:DOING WHAT I WANT 2 AUTONOMY:SELF-REALIZATION 3 CHOICES:MAKING DECISION 4 RIGHTS:RELIGION AND SPEECH 5 MOVEMENT:MOVEMENT AND TRAVEL 6 NEGATIVE:SLAVE SURBORDINATE DISCRIMINATION 7 CITIZEN:POLITICAL PARTICIPATION 8 SECURITY:ECONOMIC INDEPENDENCE 9 OTHER 98 DONT KNOW	2859
FREEEXP1	Label: What experiences in life make you feel most free Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98 Value Label 0 IAP 1 MOVING:DRIVING TRAVEL 2 LEISURE:RECREATION ENJOYABLE ACTIVITY 3 SOCIAL:ENGAGEMENT WITH FAMILY OR INSTITUTIONS 4 NEGATIVE:NO OBIGATION, DIVORCED, BEING ALONE 5 INNER:SPIRITUAL AND RELIGIOUS FREEDOM 6 CHOICES:VARIANT OF MAKING CHOICES 7 CITIZEN:POLITICAL PARTICIPATION 8 SECURITY:ECONOMIC SECURITY AND INDEPENDENCE 9 OTHER 98 NO ANSWER DONT KNOW	2860
FREEEXP2	Label: What experiences in life make you feel most free Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98 Value Label 0 IAP 1 MOVING:DRIVING TRAVEL 2 LEISURE:RECREATION ENJOYABLE ACTIVITY 3 SOCIAL:ENGAGEMENT WITH FAMILY OR INSTITUTIONS 4 NEGATIVE:NO OBIGATION, DIVORCED, BEING ALONE 5 INNER:SPIRITUAL AND RELIGIOUS FREEDOM 6 CHOICES:VARIANT OF MAKING CHOICES 7 CITIZEN:POLITICAL PARTICIPATION 8 SECURITY:ECONOMIC SECURITY AND INDEPENDENCE 9 OTHER 98 NO ANSWER DONT KNOW	2861
FREEEXP3	Label: What experiences in life make you feel most free Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98 Value Label 0 IAP 1 MOVING:DRIVING TRAVEL 2 LEISURE:RECREATION ENJOYABLE ACTIVITY 3 SOCIAL:ENGAGEMENT WITH FAMILY OR INSTITUTIONS 4 NEGATIVE:NO OBIGATION, DIVORCED, BEING ALONE 5 INNER:SPIRITUAL AND RELIGIOUS FREEDOM 6 CHOICES:VARIANT OF MAKING CHOICES 7 CITIZEN:POLITICAL PARTICIPATION 8 SECURITY:ECONOMIC SECURITY AND INDEPENDENCE 9 OTHER 98 NO ANSWER DONT KNOW	2862
HOWFREE	Label: How much freedom do Americans have Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE FREEDOM 2 A GREAT DEAL OF FREEDOM 3 A MODERATE DEGREE OF FREEDOM 4 NOT MUCH FREEDOM 5 NO FREEDOM AT ALL 8 DK 9 NA	2863
RHOWFREE	Label: How much freedom Does R have Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE FREEDOM 2 A GREAT DEAL OF FREEDOM 3 A MODERATE DEGREE OF FREEDOM 4 NOT MUCH FREEDOM 5 NO FREEDOM AT ALL 8 DK 9 NA	2864
FREENOW	Label: Americans have more freedom than in past Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MORE FREEDOM 2 ABOUT THE SAME AMOUNT OF FREEDOM 3 LESS FREEDOM 8 DK 9 NA	2865
RFREENOW	Label: R have more freedom than in past Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MORE FREEDOM 2 ABOUT THE SAME AMOUNT OF FREEDOM 3 LESS FREEDOM 8 DK 9 NA	2866
SATDEMOC	Label: R satisfied with way democracy works in America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY SATISFIED 2 FAIRLY SATISFIED 3 NOT VERY SATISFIED 4 NOT AT ALL SATISFIED 8 DK 9 NA	2867
LEFTLONE	Label: Being left alone important for freedom Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF THE MOST IMPORTANT 2 EXTREMELY IMPORTANT 3 VERY IMPORTANT 4 MODERATELY IMPORTANT 5 SOMEWHAT IMPORTANT 6 NOT TOO IMPORTANT 8 DK 9 NA	2868
NOGOVT	Label: No govt interference important for freedom Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF THE MOST IMPORTANT 2 EXTREMELY IMPORTANT 3 VERY IMPORTANT 4 MODERATELY IMPORTANT 5 SOMEWHAT IMPORTANT 6 NOT TOO IMPORTANT 8 DK 9 NA	2869
INPEACE	Label: Feeling of inner peace important for freedom Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF THE MOST IMPORTANT 2 EXTREMELY IMPORTANT 3 VERY IMPORTANT 4 MODERATELY IMPORTANT 5 SOMEWHAT IMPORTANT 6 NOT TOO IMPORTANT 8 DK 9 NA	2870
PARTPOL	Label: Political participation important for freedom Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF THE MOST IMPORTANT 2 EXTREMELY IMPORTANT 3 VERY IMPORTANT 4 MODERATELY IMPORTANT 5 SOMEWHAT IMPORTANT 6 NOT TOO IMPORTANT 8 DK 9 NA	2871
CHOICE	Label: Choice what to do in life important for freedom Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF THE MOST IMPORTANT 2 EXTREMELY IMPORTANT 3 VERY IMPORTANT 4 MODERATELY IMPORTANT 5 SOMEWHAT IMPORTANT 6 NOT TOO IMPORTANT 8 DK 9 NA	2872
EXPUNPOP	Label: Expression of unpopular ideas important for freedom Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE OF THE MOST IMPORTANT 2 EXTREMELY IMPORTANT 3 VERY IMPORTANT 4 MODERATELY IMPORTANT 5 SOMEWHAT IMPORTANT 6 NOT TOO IMPORTANT 8 DK 9 NA	2873
FREEPRSS	Label: Press should be completely free Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 THERE SHOULD BE COMPLETE FREEDOM OF THE PRESS, EVEN IF 2 THE PRESS SHOULD DEVELOP A CODE OF ETHICS TO KEEP IT 3 THE GOVERNMENT SHOULD KEEP THE PRESS FROM PRINTING 8 DK 9 NA	2874
WLTHPOV	Label: Some rich some poor ok in free society Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	2875
CNTRLIFE	Label: Control R feels over own life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO CHOICE AND CONTROL 4 SOME CHOICE AND CONTROL 7 A GREAT DEAL OF CHOICE AND CONTROL 8 DK 9 NA	2876
MODACT	Label: R limited in moderate activities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, LIMITED A LOT 2 YES, LIMITED A LITTLE 3 NO, NOT LIMITED AT ALL 8 DK 9 NA	2877
STAIRS	Label: R limited in climbing staiR's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, LIMITED A LOT 2 YES, LIMITED A LITTLE 3 NO, NOT LIMITED AT ALL 8 DK 9 NA	2878
DIDLESSP	Label: Health prevent doing desired activities past 4 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2879
LIMITEDP	Label: Health limit type of work past 4 wks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2880
DIDLESSE	Label: Emotion prevent desired activities past 4 wks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2881
CRELESSE	Label: Emotion work less carefully past 4 wks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	2882
PAIN	Label: Pain interfere with work past 4 wks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL 2 A LITTLE BIT 3 MODERATELY 4 QUITE A BIT 5 EXTREMELY 8 DK 9 NA	2883
PEACEFUL	Label: Felt peaceful in past 4 wks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 A GOOD BIT OF THE TIME 4 SOME OF THE TIME 5 A LITTLE BIT OF THE TIME 6 NON OF THE TIME 8 DK 9 NA	2884
ENERGY	Label: Have a lot of energy in past 4 wks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 A GOOD BIT OF THE TIME 4 SOME OF THE TIME 5 A LITTLE BIT OF THE TIME 6 NON OF THE TIME 8 DK 9 NA	2885
DOWNBLUE	Label: Felt down and blue in past 4 wks Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 A GOOD BIT OF THE TIME 4 SOME OF THE TIME 5 A LITTLE BIT OF THE TIME 6 NON OF THE TIME 8 DK 9 NA	2886
SOCACTS	Label: Physical and emotion social activities past 4 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 A GOOD BIT OF THE TIME 4 SOME OF THE TIME 5 A LITTLE BIT OF THE TIME 6 NON OF THE TIME 8 DK 9 NA	2887
TREAT1	Label: R seek treat moderate activities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY GO 2 PROBABLY GO 3 PROBABLY NOT GO 4 DEFINITELY NOT GO 8 DK 9 NA	2888
TREAT2	Label: R seek treat climbing staiR's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY GO 2 PROBABLY GO 3 PROBABLY NOT GO 4 DEFINITELY NOT GO 8 DK 9 NA	2889
TREAT3	Label: R seek treat doing less than desired physic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY GO 2 PROBABLY GO 3 PROBABLY NOT GO 4 DEFINITELY NOT GO 8 DK 9 NA	2890
TREAT4	Label: R seek treat limited types of work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY GO 2 PROBABLY GO 3 PROBABLY NOT GO 4 DEFINITELY NOT GO 8 DK 9 NA	2891
TREAT5	Label: R seek treat doing less than desired emotio Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY GO 2 PROBABLY GO 3 PROBABLY NOT GO 4 DEFINITELY NOT GO 8 DK 9 NA	2892
TREAT6	Label: R seek treat working less carefully Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY GO 2 PROBABLY GO 3 PROBABLY NOT GO 4 DEFINITELY NOT GO 8 DK 9 NA	2893
TREAT7	Label: R seek treat pain interfere with work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY GO 2 PROBABLY GO 3 PROBABLY NOT GO 4 DEFINITELY NOT GO 8 DK 9 NA	2894
TREAT8	Label: R seek treat not calm and peaceful Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY GO 2 PROBABLY GO 3 PROBABLY NOT GO 4 DEFINITELY NOT GO 8 DK 9 NA	2895
TREAT9	Label: R seek treat lack of energy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY GO 2 PROBABLY GO 3 PROBABLY NOT GO 4 DEFINITELY NOT GO 8 DK 9 NA	2896
TREAT10	Label: R seek treat downhearted and blue Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY GO 2 PROBABLY GO 3 PROBABLY NOT GO 4 DEFINITELY NOT GO 8 DK 9 NA	2897
TREAT11	Label: R seek treat health interfere with social l Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY GO 2 PROBABLY GO 3 PROBABLY NOT GO 4 DEFINITELY NOT GO 8 DK 9 NA	2898
WAIT1	Label: How long R wait treatment moderate activity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 ZERO DAYS 991 SOME DAYS 992 SOME WEEKS 993 SOME MONTHS 998 DK 999 NA	2899
WAIT2	Label: How long R wait treatment climbing stairs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 ZERO DAYS 991 SOME DAYS 992 SOME WEEKS 993 SOME MONTHS 998 DK 999 NA	2900
WAIT3	Label: How long R wait treatment doing less work p Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 0 ZERO DAYS 991 SOME DAYS 992 SOME WEEKS 993 SOME MONTHS 998 DK 999 NA	2901
WAIT4	Label: How long R wait treatment limited types of Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 0 ZERO DAYS 991 SOME DAYS 992 SOME WEEKS 993 SOME MONTHS 998 DK 999 NA	2902
WAIT5	Label: How long R wait treatment doing less work e Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 0 ZERO DAYS 991 SOME DAYS 992 SOME WEEKS 993 SOME MONTHS 998 DK 999 NA	2903
WAIT6	Label: How long R wait treatment working less care Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 0 ZERO DAYS 991 SOME DAYS 992 SOME WEEKS 993 SOME MONTHS 998 DK 999 NA	2904
WAIT7	Label: How long R wait treatment pain interfere wi Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 0 ZERO DAYS 991 SOME DAYS 992 SOME WEEKS 993 SOME MONTHS 998 DK 999 NA	2905
WAIT8	Label: How long R wait treatment not calm and peace Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 0 ZERO DAYS 991 SOME DAYS 992 SOME WEEKS 993 SOME MONTHS 998 DK 999 NA	2906
WAIT9	Label: How long R wait treatment lack of energy Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 0 ZERO DAYS 991 SOME DAYS 992 SOME WEEKS 993 SOME MONTHS 998 DK 999 NA	2907
WAIT10	Label: How long R wait treatment downhearted and b Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 0 ZERO DAYS 991 SOME DAYS 992 SOME WEEKS 993 SOME MONTHS 998 DK 999 NA	2908
WAIT11	Label: How long R wait treatment health interfere Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 0 ZERO DAYS 991 SOME DAYS 992 SOME WEEKS 993 SOME MONTHS 998 DK 999 NA	2909
DOWNQOL	Label: Treatment for downheartedness improve quality of life Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2910
DOWNFAM	Label: Treatment for downheartedness improve family Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2911
DOWNCURE	Label: Treatment for downheartedness cure condition Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2912
DOWNRELY	Label: Treatment for downheartedness rely less on Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2913
DOWNFEEL	Label: Treatment for downheartedness improve feelings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2914
PAINQOL	Label: Treatment for pain improve quality of life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2915
PAINFAM	Label: Treatment for pain improve family relations Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2916
PAINCURE	Label: Treatment for pain cure condition Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2917
PAINRELY	Label: Treatment for pain rely less on others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2918
PAINFEEL	Label: Treatment for pain improve feeling about se Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2919
EMOTQOL	Label: Treatment for emotion improve quality of li Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2920
EMOTFAM	Label: Treatment for emotion improve family relations Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2921
EMOTCURE	Label: Treatment for emotion cure condition Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2922
EMOTRELY	Label: Treatment for emotion rely less on others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2923
EMOTFEEL	Label: Treatment for emotion improve feeling about Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY EXPECT 2 PROBABLY EXPECT 3 PROBABLY NOT EXPECT 4 DEFINITELY NOT EXPECT 8 DK 9 NO ANSWER	2924
ETHIMP	Label: Importance of ethnic group to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Important 2 Moderately Important 3 Slightly Important 4 Not at All Important 8 DONT KNOW 9 NO ANSWER	2925
ETHIGNOR	Label: US harmony by ignore ethnic differences Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2926
ETHNOFIT	Label: Eth minorities never fit in am mainstream Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2927
ETHTRADS	Label: Society recognize right of ethnic traditions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2928
ETHADAPT	Label: Minorities must adapt to American culture Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2929
FEELBLKS	Label: How R feels towards african Americans Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Very Warm 9 Very Cool 98 DONT KNOW 99 NO ANSWER	2930
FEELASNS	Label: How R feels towards Asian Americans Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Very Warm 9 Very Cool 98 DONT KNOW 99 NO ANSWER	2931
FEELHSPS	Label: How R feels towards Hispanics Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Very Warm 9 Very Cool 98 DONT KNOW 99 NO ANSWER	2932
FEELWHTS	Label: How R feel towards caucAsians Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Very Warm 9 Very Cool 98 DONT KNOW 99 NO ANSWER	2933
ETHSAME	Label: Individual of same ethnic group similar Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2934
ETHDIFF	Label: Ethnic groups in us different Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2935
WHTSDIFF	Label: Whites different from minorities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2936
DOCVIG	Label: Vignette about the doctor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Our physcian s group...(c4) 2 It use to be that physicans...(c5) 3 I can understand...(c6) 4 I understand that...(c7) 5 I have had a lot...(c8) 6 I usually don t order...(c9)	2937
REGDOC	Label: R has regular doctor or clinic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2938
REGDOCYR	Label: R has had doctor for more than one year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2939
DOCASKME	Label: R prefers doc ask opinion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Moderately agree 3 Slightly agree 4 Slightly disagree 5 Moderately disagree 6 Strongly disagree 8 DONT KNOW 9 NO ANSWER	2940
DOCDECID	Label: R leaves decisions up to doctor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Moderately agree 3 Slightly agree 4 Slightly disagree 5 Moderately disagree 6 Strongly disagree 8 DONT KNOW 9 NO ANSWER	2941
DOCRELY	Label: R relies on doctors knowledge Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Moderately agree 3 Slightly agree 4 Slightly disagree 5 Moderately disagree 6 Strongly disagree 8 DONT KNOW 9 NO ANSWER	2942
HLTHPLAN	Label: R had medicare or medicaid Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2943
CHOSEDOC	Label: R had enough choices among docs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2944
INSRLMTS	Label: R's insurance plan has limits Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2945
DIFFCARE	Label: R had difficulty getting specialty care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2946
FININC	Label: R heard docs limit used of exp tests Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2947
FININC1	Label: Importance to R to be told about incentives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very important 2 Somewhat important 3 Neither important nor unimportant 4 Somewhat unimportant 5 Very unimportant 8 DONT KNOW 9 NO ANSWER	2948
FININC2	Label: Best time to be told about incentives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 When you enroll in a health plan 2 When you first see your doctor 3 When you need a test or specialist 8 DONT KNOW 9 NO ANSWER	2949
FININC3	Label: Best person to tell about incentives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Your doctor 2 A representative of your health plan 3 Both your doctor and a representative of health plan 8 DONT KNOW 9 NO ANSWER	2950
FININC4	Label: R likely to ask doc about incentives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Neither likely nor unlikely 4 Somewhat unlikely 5 Very unlikely 8 DONT KNOW 9 NO ANSWER	2951
BELVEDOC	Label: R believe what doctor said Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 MAYBE 8 DONT KNOW 9 NO ANSWER	2952
DOCINFO	Label: Doctor provided enough info Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 MAYBE 8 DONT KNOW 9 NO ANSWER	2953
DOCNOMRI	Label: R agree with doc decision to not order mri Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 MAYBE 8 DONT KNOW 9 NO ANSWER	2954
DOCSAT	Label: How satisfied R with office visit Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Excellent 2 Very good 3 Good 4 Fair 5 Poor 8 DONT KNOW 9 NO ANSWER	2955
DOCCOSTS	Label: How R trust doc put health above costs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Completely 2 Mostly 3 Somewhat 4 A little 5 Not at all 8 DONT KNOW 9 NO ANSWER	2956
DOCSWTCH	Label: Would R switch physicians Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 MAYBE 8 DONT KNOW 9 NO ANSWER	2957
INSRCHNG	Label: Would R change insurance plans Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 MAYBE 8 DONT KNOW 9 NO ANSWER	2958
SECOPIN	Label: Would R seek second opinion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 MAYBE 8 DONT KNOW 9 NO ANSWER	2959
PAIDHOW	Label: How are you paid Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Salary 2 By the Hour 3 Earnings from business 4 Piecework 5 By the job/project 6 Wage+ Commission 7 By hour + tips 8 Mileage 9 Salary & Hours combination 10 By day/week 11 By route 12 By client 13 By contract 20 Other 98 DK 99 NA	2960
USUALHRS	Label: How many hrs/week do you usually work Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2961
MOSTHRS	Label: Most hrs/week worked in past month Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2962
LEASTHRS	Label: Fewest hrs/week worked in past month Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	2963
SETHRS	Label: How are your working hours decided Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 The total number of hours I work each week is decided by my employer with little or no input from me 2 The total number of hours I work each week is decided by my employer but with my input 3 I can decide how many hours I work each week, within certain limits 4 I am entirely free to decide how many hours I work each week 5 How many hours I work a week depends on things outside of my control and outside of my employer’s control 8 DK 9 NA	2964
ADVSCHED	Label: How far in advance do you schedule work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 One day or less in advance 2 2 to 3 days in advance 3 4 to 7 days in advance 4 Between 1 and 2 weeks in advance 5 Between 3 and 4 weeks in advance 6 More than 4 weeks in advance 7 My schedule never changes 8 DK 9 NA 98 DON'T KNOW 99 REFUSED	2965
WRKTYPE	Label: Work arrangement at main job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 INDEPENDENT CONTRACTOR/CONSULTANT/FREELANCE WORKER 2 ON-CALL, WORK ONLY WHEN CALLED TO WORK 3 PAID BY A TEMPORARY AGENCY 4 WORK FOR CONTRACTOR WHO PROVIDES WORKERS/SERVICES 5 REGULAR, PERMANENT EMPLOYEE 8 DONT KNOW 9 NO ANSWER	2966
YEARSJOB	Label: Time at current job Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1.00 IAP .25 LESS THAN 6 MONTHS .75 6-11.9 MONTHS 98.00 DONT KNOW 99.00 NO ANSWER	2967
WAYPAID	Label: How paid in main job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Salaried 2 Paid by the hour 3 Other 4 Commission 5 Self-employed 6 Paid by the job 7 Salary and bonus/commission 8 Tips 98 DONT KNOW 99 NO ANSWER	2968
WRKSCHED	Label: Usual work schedule Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Day shift 2 Afternoon shift 3 Night shift 4 Split shift 5 Irregular shift/on-call 6 Rotating shifts 8 DONT KNOW 9 NO ANSWER	2969
MOREDAYS	Label: Days per month R work extra hours Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	2970
MUSTWORK	Label: Mandatory to work extra hours Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2971
CHNGTME	Label: How often R allowed change schedule Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DONT KNOW 9 NO ANSWER	2972
WRKHOME	Label: How often R works at home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Never 2 A few times a year 3 About once a month 4 About once a week 5 More than once a week 6 Worker works mainly at home 8 DONT KNOW 9 NO ANSWER	2973
WHYWKHME	Label: Usual reason R work at home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Worker wants to work at home 2 Worker has to work at home to keep up with job 3 Other combinations and other reasons 8 DONT KNOW 9 NO ANSWER	2974
FAMWKOFF	Label: How hard to take time off Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not at all hard 2 Not too hard 3 Somewhat hard 4 Very hard 8 DONT KNOW 9 NO ANSWER	2975
WKVSFAM	Label: How often job interferes fam life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DONT KNOW 9 NO ANSWER	2976
FAMVSWK	Label: How often fam life interfere job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DONT KNOW 9 NO ANSWER	2977
HRSRELAX	Label: Hours per day R have to relax Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	2978
SECONDWK	Label: R has job other than main Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	2979
LEARNNEW	Label: Job requires R to learn new things Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2980
WORKFAST	Label: Job requires R to work fast Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2981
WORKDIFF	Label: R does numerous things on job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2982
LOTOFSAY	Label: R has lot of say in job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2983
WKTOPSAT	Label: Satisfaction comes from work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2984
OVERWORK	Label: R has too much work to do well Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2985
KNOWWHAT	Label: R knows what's expected on job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2986
MYSKILLS	Label: Job allows R use of skills Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2987
RESPECT	Label: R treated with respect at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2988
TRUSTMAN	Label: R trust management at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2989
SAFETYWK	Label: Worker safety priority at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2990
SAFEFRST	Label: No shortcuts on worker safety Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2991
TEAMSAFE	Label: Mgt and employees work together re safety Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2992
SAFEHLTH	Label: Safety and health condition good at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2993
PROUDEMP	Label: R proud to work for employer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2994
PRODCTIV	Label: Work conditions allow productivity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2995
WKSMOOTH	Label: Workplace runs in smooth manner Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2996
TRDUNION	Label: Workers need strong unions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Disagree 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	2997
PARTTEAM	Label: R work as part of a team Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, I work as part of a team 2 No, I work mostly on my own 8 DONT KNOW 9 NO ANSWER	2998
WKDECIDE	Label: How often R take part in decisions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DONT KNOW 9 NO ANSWER	2999
SETTHNGS	Label: How often R set way things done Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DONT KNOW 9 NO ANSWER	3000
TOOFEWWK	Label: How often not enough staff Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DONT KNOW 9 NO ANSWER	3001
PROMTEOK	Label: R's chances for promotion good Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3002
OPDEVEL	Label: Opportunity to develop my abilities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3003
HLPEQUIP	Label: Enough help and equip to ge the job done Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3004
HAVEINFO	Label: Enough info to get the job done Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3005
WKFREEDM	Label: A lot of freedom to decide how to do job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3006
FRINGEOK	Label: Fringe benefits are good Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3007
SUPCARES	Label: Supervisor concerned about welfare Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3008
CONDEMND	Label: R free from conflicting demands Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3009
PROMTEFR	Label: Promotions are handled fairly Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3010
COWRKINT	Label: Coworkers take a Personal interest in R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3011
JOBSECOK	Label: The job security is good Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3012
SUPHELP	Label: Supervisor helpful to R in getting job done Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3013
WRKTIME	Label: R has enough time to get the job done Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3014
COWRKHLP	Label: Coworkers can be relied on when R needs help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3015
TRAINOPS	Label: R have the training opportunities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DONT KNOW 9 NO ANSWER	3016
MANVSEMP	Label: Relations bw management and employees Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very good 2 Quite good 3 Neither good nor bad 4 Quite bad 5 Very bad 8 DONT KNOW 9 NO ANSWER	3017
HVYLIFT	Label: R do repeated lifting Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3018
HANDMOVE	Label: R perform forceful hand movements Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3019
WKPRAISE	Label: R is likely to be praised by supervisor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 Maybe 3 No 8 DONT KNOW 9 NO ANSWER	3020
WKBONUS	Label: R is likely to get a bonus or pay increase Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 Maybe 3 No 8 DONT KNOW 9 NO ANSWER	3021
FAIREARN	Label: How fair is what R earn on the job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Much less than you deserve 2 Somewhat less than you deserve 3 About as much as you deserve 4 Somewhat more than you deserve 5 Much more than you deserve 8 DONT KNOW 9 NO ANSWER	3022
RINCBLLS	Label: Income alone is enough Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3023
LAIDOFF	Label: R was laid off main job last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3024
JOBFIND1	Label: How easy for R to find a same job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very easy to find similar job 2 Somewhat easy to find similar job 3 Not easy at all to find similar job 8 DONT KNOW 9 NO ANSWER	3025
TRYNEWJB	Label: How likely R make effort for new job next year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not at all likely 8 DONT KNOW 9 NO ANSWER	3026
WKAGEISM	Label: R feels discriminated because of age Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3027
WKRACISM	Label: R feels discriminated because of race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3028
WKSEXISM	Label: R feels discriminated because of gender Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3029
WKHARSEX	Label: R sexually harassed on the job last 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3030
WKHAROTH	Label: R threatened on the job last 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3031
HEALTH1	Label: R's health in general Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Excellent 2 Very good 3 Good 4 Fair 5 Poor 8 DONT KNOW 9 NO ANSWER	3032
PHYSHLTH	Label: Days of poor physical health past 30 days Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3033
MNTLHLTH	Label: Days of poor mental health past 30 days Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3034
HLTHDAYS	Label: Days of activity limitation past 30 days Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3035
USEDUP	Label: How often during past month R felt used up Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very often 2 Often 3 Sometimes 4 Rarely 5 Never 8 DONT KNOW 9 NO ANSWER	3036
BACKPAIN	Label: R had back pain in the past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3037
PAINARMS	Label: R had pain in the arms in the past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3038
HURTATWK	Label: Number of injuries on the job past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 7 OR MORE 8 DONT KNOW 9 NO ANSWER	3039
SPVTRFAIR	Label: Supervisor is fair Format: F1.0 Measure: Nominal Display Width: 11 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very true 2 Somewhat true 3 Not too true 4 Not at all true 8 DON'T KNOW 9 No answer	3040
STRREDPG	Label: Access to stress management Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DON'T KNOW 9 No answer	3041
PHYEFFRT	Label: Rate physical effort Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very hard 2 Hard 3 Somewhat hard 4 Fairly light 5 Very light 8 DON’T KNOW 9 No answer	3042
SLPPRBLM	Label: Trouble sleeping last 12 months Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DON’T KNOW 9 No answer	3043
SATJOB1	Label: Job satisfaction in general Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very satisfied 2 Somewhat satisfied 3 Not too satisfied 4 Not at all satisfied 8 DONT KNOW 9 NO ANSWER	3044
KNOWSCHD	Label: How far in advance know work schedule Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 One week or less 2 Between 1 and 2 weeks 3 Between 3 and 4 weeks 4 4 weeks or more 8 Don't know 9 No answer	3045
USETECH	Label: Percentage of time use tech Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	3046
STRESS12	Label: Stress management program last 12 months Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 Don't know 9 No answer	3047
HYPERTEN	Label: Told have hypertension or high blood pressure Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 Don't know 9 No answer	3048
ARTHRTIS	Label: Told have arthritis or rheumatism Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 Don't know 9 No answer	3049
DIABETES	Label: Told have diabetes Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 Don't know 9 No answer	3050
DEPRESS	Label: Told have depression Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 Don't know 9 No answer	3051
WEIGHT	Label: R weighs how much Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 Don't know 999 No answer	3052
HEIGHT	Label: R is how tall Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 Don't know 99 No answer	3053
NTWKHARD	Label: Past week not work hard enough Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DK 999 NA	3054
MISSWORK	Label: Miss work for health past 30 days Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	3055
CESD1	Label: How much time felt depressed in past wk Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 None or almost none of the time 2 Some of the time 3 Most of the time 4 All or almost all of the time 8 DK 9 NA	3056
CESD2	Label: How much time sleep was restless in past wk Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 None or almost none of the time 2 Some of the time 3 Most of the time 4 All or almost all of the time 8 DK 9 NA	3057
CESD3	Label: How much time felt happy in past wk Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 None or almost none of the time 2 Some of the time 3 Most of the time 4 All or almost all of the time 8 DK 9 NA	3058
CESD4	Label: How much time felt lonely in past wk Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 None or almost none of the time 2 Some of the time 3 Most of the time 4 All or almost all of the time 8 DK 9 NA	3059
CESD5	Label: How much time felt sad in past wk Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 None or almost none of the time 2 Some of the time 3 Most of the time 4 All or almost all of the time 8 DK 9 NA	3060
WORKFOR	Label: R work for whom Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Private company 2 Non-profit organization 3 Government or government agency 8 DONT KNOW 9 NO ANSWER	3061
WORKFOR1	Label: R work for whom Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 For-profit company 2 Non-profit or not-for-profit organization 3 Government or government agency 8 DON'T KNOW 9 No answer	3062
OWNSTOCK	Label: R has stock in R's company Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No, I work for a company that does not have stock 3 No, my company has stock but I do not own any 4 No, I do not own and do not know if my company has stock 5 I do not know if I own stock in my company 8 DONT KNOW 9 NO ANSWER	3063
STOCKVAL	Label: Total dollar value of R's stock Format: F7.0 Measure: Scale Display Width: 8 Missing Values: -1; 9999998; 9999999 Value Label -1 IAP 9999995 OTHER 9999998 DONT KNOW 9999999 NO ANSWER	3064
STOCKOPS	Label: R hold any stock options of R's company Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3065
EXTRAPAY	Label: Eligible for performance based pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3066
COMPPERF	Label: Size of perf based pay depend on profits Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3067
DEPTPERF	Label: Size of perf based pay depend on workgroup Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3068
INDPERF	Label: Size of perf based pay depend on individual Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3069
EXTR2001	Label: Did R receive perf based payment in 2001 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3070
EXTRAVAL	Label: Total dollar value of pay in previous year Format: F7.0 Measure: Scale Display Width: 8 Missing Values: -1; 9999998; 9999999 Value Label -1 IAP 9999995 OTHER 9999998 DONT KNOW 9999999 NO ANSWER	3071
EXTRAYR	Label: Year of the most recent perf based payments Format: F4.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DONT KNOW 9999 NO ANSWER	3072
YEARVAL	Label: Total dollar value of payments in that year Format: F7.0 Measure: Scale Display Width: 8 Missing Values: -1; 9999998; 9999999 Value Label -1 IAP 9999995 OTHER 9999998 DONT KNOW 9999999 NO ANSWER	3073
SEECOWRK	Label: How easy to see whether co-workers working Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 Not at all easy to see 10 Very easy to see 98 DONT KNOW 99 NO ANSWER	3074
COWRKHRD	Label: How hard to say how people work at workplace Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 Not at all hard 10 Very hard 98 DONT KNOW 99 NO ANSWER	3075
TALKEMP	Label: How likely to talk directly if coworker not work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not at all likely 2 Not very likely 3 Somewhat likely 4 Very likely 8 DONT KNOW 9 NO ANSWER	3076
TALKSUP	Label: How likely to speak supervisor if coworker not w Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 I do not have a supervisor or manager 1 Not at all likely 2 Not very likely 3 Somewhat likely 4 Very likely 8 DONT KNOW 9 NO ANSWER	3077
DONOTHNG	Label: How likely to do nothing if coworker not working Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not at all likely 2 Not very likely 3 Somewhat likely 4 Very likely 8 DONT KNOW 9 NO ANSWER	3078
LASTWKMO	Label: What month were you last working Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 JANUARY 2 FEBRUARY 3 MARCH 4 APRIL 5 MAY 6 JUNE 7 JULY 8 AUGUST 9 SEPTEMBER 10 OCTOBER 11 NOVEMBER 12 DECEMBER 98 DONT KNOW 99 NO ANSWER	3079
LASTWKYR	Label: What year were you last working Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DONT KNOW 9999 NO ANSWER	3080
EMPATHY1	Label: R have tender feeling for people less fortunate Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Does not describe very well 5 Describes very well 8 DONT KNOW 9 NO ANSWER	3081
EMPATHY2	Label: R does not feel very sorry for people having pro Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Does not describe very well 5 Describes very well 8 DONT KNOW 9 NO ANSWER	3082
EMPATHY3	Label: R feels protective towards people taken advantage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Does not describe very well 5 Describes very well 8 DONT KNOW 9 NO ANSWER	3083
EMPATHY4	Label: Others misfortunes do not disturb r Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Does not describe very well 5 Describes very well 8 DONT KNOW 9 NO ANSWER	3084
EMPATHY5	Label: R does not feel pity for someone treated unfair Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Does not describe very well 5 Describes very well 8 DONT KNOW 9 NO ANSWER	3085
EMPATHY6	Label: R often quite touched by things Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Does not describe very well 5 Describes very well 8 DONT KNOW 9 NO ANSWER	3086
EMPATHY7	Label: R describes oneself as a soft-hearted person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Does not describe very well 5 Describes very well 8 DONT KNOW 9 NO ANSWER	3087
GIVBLOOD	Label: R donated blood during the past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least 2 or 3 times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	3088
GIVHMLSS	Label: R has given food or money to a homeless person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least 2 or 3 times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	3089
RETCHNGE	Label: R returned money after getting too much change Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least 2 or 3 times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	3090
CUTAHEAD	Label: R allowed a stranger to go ahead of you in line Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least 2 or 3 times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	3091
VOLCHRTY	Label: R done volunteer work for a charity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least 2 or 3 times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	3092
GIVCHRTY	Label: R has given money to a charity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least 2 or 3 times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	3093
GIVSEAT	Label: R offered seat to a stranger during past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least 2 or 3 times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	3094
HELPAWAY	Label: R looked after plant or pet of others while away Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least 2 or 3 times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	3095
CARRIED	Label: R carried a stranger's belongings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least 2 or 3 times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	3096
DIRECTNS	Label: R has given directions to a stranger Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least 2 or 3 times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	3097
LOANITEM	Label: R has let someone borrow a item of some value Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least 2 or 3 times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	3098
SELFLESS	Label: R feels like a selfless caring for others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Many times a day 2 Every day 3 Most days 4 Some days 5 Once in a while 6 Never or almost never 8 DONT KNOW 9 NO ANSWER	3099
ACCPTOTH	Label: R accept others even when they do things wrong Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Many times a day 2 Every day 3 Most days 4 Some days 5 Once in a while 6 Never or almost never 8 DONT KNOW 9 NO ANSWER	3100
OTHSHELP	Label: People should help less fortunate others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3101
CARESELF	Label: Those in need have to take care of themselves Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3102
PEOPTRBL	Label: Assisting people in trouble is very important Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3103
SELFFRST	Label: People need not overly worry about others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3104
VOLMONTH	Label: Volunteer in last month Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DON'T KNOW 9 No answer	3105
VALGIVEN	Label: Total donations past year R and immediate family Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999998 DK 999999 NA	3106
FININD	Label: Young should be financially independent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Extremely important 2 Quite important 3 Somewhat important 4 Not too important 5 Not at all important 8 DONT KNOW 9 NO ANSWER	3107
FININD1	Label: Aged should be financially independent Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3108
OWNHH	Label: Young should not live with parents Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Extremely important 2 Quite important 3 Somewhat important 4 Not too important 5 Not at all important 8 DONT KNOW 9 NO ANSWER	3109
OWNHH1	Label: Aged should stop living with parents Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3110
EDDONE	Label: Young should complete formal schooling Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Extremely important 2 Quite important 3 Somewhat important 4 Not too important 5 Not at all important 8 DONT KNOW 9 NO ANSWER	3111
EDDONE1	Label: Aged should complete formal schooling Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3112
FTWORK	Label: Young should be employed full-time Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Extremely important 2 Quite important 3 Somewhat important 4 Not too important 5 Not at all important 8 DONT KNOW 9 NO ANSWER	3113
FTWORK1	Label: Aged should be employed full-time Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3114
SUPFAM	Label: Young should be able to support family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Extremely important 2 Quite important 3 Somewhat important 4 Not too important 5 Not at all important 8 DONT KNOW 9 NO ANSWER	3115
SUPFAM1	Label: Aged should be able to support family Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3116
HAVCHLD	Label: Young should have child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Extremely important 2 Quite important 3 Somewhat important 4 Not too important 5 Not at all important 8 DONT KNOW 9 NO ANSWER	3117
HAVCHLD1	Label: Aged should have child Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3118
GETMAR	Label: Young should get married Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Extremely important 2 Quite important 3 Somewhat important 4 Not too important 5 Not at all important 8 DONT KNOW 9 NO ANSWER	3119
GETMAR1	Label: Aged should get married Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3120
BOYCOTT	Label: Have ever boycotted a product past 5 years Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3121
SIGNPET	Label: Have ever signed a petition past 5 years Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3122
PROTEST	Label: Have ever joined a protest rally past 5 years Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3123
CONOFFCL	Label: Have ever contacted an elected official Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3124
GIVCHNG	Label: Have given money to group advocating social change Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3125
HLPNEEDY	Label: Have ever contributed time to help the needy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3126
PARTTHON	Label: Have participated in a walkathon over past 5 years Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3127
CHLDVIG	Label: Vignette asked Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 IAP	3128
CHLDPRB	Label: What R think may be wrong with a named youth Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 ADHD or ADD 2 Depression 3 Normal 4 Asthma 5 Developmental Puberty 6 Illicit drugs 7 ADHD Symptoms 8 Psychiatric Personality Problems 9 Medical Problems Symptoms 10 Environment Social 11 Other characteristic miscellaneous 97 98 DONT KNOW 99 NO ANSWER	3129
CHLDPROB	Label: How serious R consider his or her problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very serious 2 Somewhat serious 3 Not very serious 4 Not at all serious 8 DONT KNOW 9 NO ANSWER	3130
CHLDHLP	Label: What should be done to help a named youth Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 97; 99 Value Label 0 IAP 10 Nothing 20 Medical General 21 Doctor 22 Specialist 30 Mental Health General 31 Psychiatrist 32 Social Worker 33 Counselor Therapist 34 Psychologist 40 Family Friends General 41 Negative blaming parenting 42 Positive parenting 50 Assistance from school General 51 Involve teacher 52 Involve school counselor 60 Religion 80 Social extracurricular activity 90 Other help Miscellaneous 97 DK REF 99 NO ANSWER	3131
BADCHAR	Label: Situation caused by own bad character Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not Very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3132
CHEMBAL	Label: Situation by a chemical imbalance in the brain Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not Very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3133
STRESSFL	Label: Situation caused by stressful circumstances Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not Very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3134
GENEPROB	Label: Situation caused by a genetic or inherited problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not Very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3135
RAISED	Label: Situation caused by the way he or she was raised Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not Very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3136
VIOLTV	Label: Situation caused by watching violent TV Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not Very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3137
DISCIPLN	Label: Situation caused by lacking discipline in the Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not Very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3138
ALLERGIC	Label: Situation caused by food or chemical allergies Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not Very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3139
BETTROWN	Label: Situation will improve on its own Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not Very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3140
IMPRVDIS	Label: Situation will improve with strict discipline Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not Very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3141
IMPRVEAT	Label: Situation will improve with some changes in diet Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not Very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3142
IMPRVMED	Label: Situation will improve with medical treatment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not Very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3143
NEXTDOOR	Label: How willing R move next door to child's family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely Willing 2 Probably Willing 3 Probably Unwilling 4 Definitely Unwilling 8 DONT KNOW 9 NO ANSWER	3144
SPENDEVE	Label: How willing R spend evening with child's family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely Willing 2 Probably Willing 3 Probably Unwilling 4 Definitely Unwilling 8 DONT KNOW 9 NO ANSWER	3145
CHLDFRND	Label: How willing R have children make friends with ch Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely Willing 2 Probably Willing 3 Probably Unwilling 4 Definitely Unwilling 8 DONT KNOW 9 NO ANSWER	3146
CHLDSCH	Label: How willing R have child in same class of R's ch Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely Willing 2 Probably Willing 3 Probably Unwilling 4 Definitely Unwilling 8 DONT KNOW 9 NO ANSWER	3147
ADFAM	Label: Would R get advice from family if child was R's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3148
ADFAMMED	Label: Would R have child be on medication by fam advice Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3149
ADTCH	Label: Would R get advice from teachers child if was R's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3150
ADTCHMED	Label: Would have child be on med by teachers advice Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3151
ADDOC	Label: Would go to a medical doctor if he was R's child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3152
ADDOCMED	Label: Would have child be on med by docs advice Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3153
ADCOU	Label: Would R go to counselor if child was R's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3154
ADCOUMED	Label: Would R have child on med by counseloR's advice Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3155
ADPSY	Label: Would R go to a psychiatrist if child was R's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3156
ADPSYMED	Label: Would R have child on med by psychiatrists ad Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3157
ADHOS	Label: Would R check child into a hospital if was R's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3158
ADHOSMED	Label: Would R have child be on med by hospital staff Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not very Likely 4 Not at all Likely 8 DONT KNOW 9 NO ANSWER	3159
FORCEDOC	Label: Should child be forced by law to be treated by doc Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3160
FORCEMED	Label: Should child be forced by law to take a prescription Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3161
FORCEHOS	Label: Should child be forced by law to admit to a hosp Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3162
GRWINGUP	Label: Is child experiencing normal ups and downs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not very Likely 4 Not Likely at all 8 DONT KNOW 9 NO ANSWER	3163
MNTLILL	Label: Is child experiencing a mental illness Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not very Likely 4 Not Likely at all 8 DONT KNOW 9 NO ANSWER	3164
ILLPHYS	Label: Is child experiencing a physical illness Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not very Likely 4 Not Likely at all 8 DONT KNOW 9 NO ANSWER	3165
VIOLPEOP	Label: Would child do something violent toward other Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not very Likely 4 Not Likely at all 8 DONT KNOW 9 NO ANSWER	3166
VIOLSELF	Label: Would child do something violent to own self Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very Likely 2 Somewhat Likely 3 Not very Likely 4 Not Likely at all 8 DONT KNOW 9 NO ANSWER	3167
OUTSIDER	Label: Getting mental health treatment make child an Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3168
SUFADULT	Label: Would child suffer as adult if other learn Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3169
COMKNOWS	Label: People in community still know who had mental Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3170
FAILURE	Label: Mental treatment for child make parent feel like Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3171
OVRMEDKD	Label: Docs are over medicating child with common problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3172
MEDKDNEG	Label: Medicating child will have long term negative Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3173
PUTSOFF	Label: Psychiatric med only put off dealing with problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3174
TRBLLAW	Label: Child with med get into less trouble with the Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3175
MEDSAVTX	Label: Govt programs for mental health treatment will Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3176
ZOMBIES	Label: Med for behavior problems turn kids into zombies Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3177
PRYNTFAM	Label: Med just prevent family from working out problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3178
ADHDKNOW	Label: What Does R know about ADHD Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Never heard of it 2 Not sure/DONT KNOW 3 No answer 4 OTHER 8 DONT KNOW 9 NO ANSWER	3179
ADHDKNW	Label: What Does R know about ADHD (verbatim) Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Nothing Don t know 2 Had herad of it Unspecified 4 Medication Ritalin 5 Chemical Biological cause 6 Environment Social Cause 7 Describing symptoms 8 Other 30 Someone else I know has it 31 My child has it 32 I have(had) it 81 Diet based too much sugar 82 Anti-ADHD 99 NO ANSWER	3180
ADHDREAL	Label: Is ADHD a real disease Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3181
ADHDCON	Label: Children should be given counseling for ADHD Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3182
ADHDMED	Label: Children should be given medication to treat ADHD Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3183
MNTLREL	Label: Effect of mental health problem on relation with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 became stronger 2 was unchanged 3 became worse 4 ended as a result of the problem 8 DONT KNOW 9 NO ANSWER	3184
MEDSYMPS	Label: Med for mental health problem help people Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3185
MEDADDCT	Label: Med for mental health problem are addictive Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3186
MEDWEAK	Label: Taking medications is a sign of weakness Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3187
MEDUNACC	Label: Med for mental health problem often have side of Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree Somewhat 3 Disagree Somewhat 4 Strongly Disagree 8 DONT KNOW 9 NO ANSWER	3188
SOLVEOWN	Label: R would solve problem on ones own or get advice Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 On own 2 Get advice 3 Both(on own and get advice) depending on problem 4 Religious 5 Research the Problem 6 Talk to a doctor other professional 7 Talk with older people 8 DONT KNOW 9 NO ANSWER	3189
DOC15A	Label: Doctor not really care me as a person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 strongly agree 2 agree somewhat 3 neither agree nor disagree 4 disgree somewhat 5 strongly disagree 8 dont know 9 no answer	3190
DOC16A	Label: Doctors judgment trusted Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 strongly agree 2 agree somewhat 3 neither agree nor disagree 4 disgree somewhat 5 strongly disagree 8 dont know 9 no answer	3191
DOC18A	Label: Doctor put medical needs above all other Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 strongly agree 2 agree somewhat 3 neither agree nor disagree 4 disgree somewhat 5 strongly disagree 8 dont know 9 no answer	3192
DOC19A	Label: Doctor a real expert in taking care problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 strongly agree 2 agree somewhat 3 neither agree nor disagree 4 disgree somewhat 5 strongly disagree 8 dont know 9 no answer	3193
DOC20A	Label: Doctor tell me if a mistake was made Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 strongly agree 2 agree somewhat 3 neither agree nor disagree 4 disgree somewhat 5 strongly disagree 8 dont know 9 no answer	3194
CANINF1	Label: Would use search engine for information on candidate Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 YES 2 Yes, at least one URL is not a .com 8 DONT KNOW 9 NO ANSWER	3195
CANINF2	Label: Would use category directory information on can Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 YES 2 Yes, at least one URL is not a .com 8 DONT KNOW 9 NO ANSWER	3196
CANINF3	Label: Would use bookMark for information on candidate Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 YES 2 Yes, at least one URL is not a .com 8 DONT KNOW 9 NO ANSWER	3197
CANINF4	Label: Would guess or type site name for information o Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 YES 2 Yes, at least one URL is not a .com 8 DONT KNOW 9 NO ANSWER	3198
CANINF5	Label: Would seek advice for information on candidate Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 YES 2 Yes, at least one URL is not a .com 8 DONT KNOW 9 NO ANSWER	3199
CANINF6	Label: Would use chat group for information on candida Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 YES 2 Yes, at least one URL is not a .com 8 DONT KNOW 9 NO ANSWER	3200
CANINF7	Label: Would go to candidate site for information on c Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 YES 2 Yes, at least one URL is not a .com 8 DONT KNOW 9 NO ANSWER	3201
CANINF8	Label: Would go to politics site for information on ca Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 YES 2 Yes, at least one URL is not a .com 8 DONT KNOW 9 NO ANSWER	3202
CANINF9	Label: Would go to news site for information on candid Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 YES 2 Yes, at least one URL is not a .com 8 DONT KNOW 9 NO ANSWER	3203
CANINF10	Label: Would go to portal site for information on candidate Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 YES 2 Yes, at least one URL is not a .com 8 DONT KNOW 9 NO ANSWER	3204
CANINF11	Label: Would go to govt site for information on candid Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 YES 2 Yes, at least one URL is not a .com 8 DONT KNOW 9 NO ANSWER	3205
CANINF12	Label: Would refuse to answer not sure don't know Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 YES 2 Yes, at least one URL is not a .com 8 DONT KNOW 9 NO ANSWER	3206
CANINF13	Label: Does R mentioned any specific URL? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO 1 YES 2 Yes, at least one URL is not a .com 8 DONT KNOW 9 NO ANSWER	3207
CANINF14	Label: First site mentioned Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 NO SPECIFIC SEARCH ENGINE MENTIONED 1 YAHOO 2 AOL 3 CNN 4 MSN 5 EXCITE 6 GOOGLE 7 WEBFERRET 8 LYCOS 9 ALTAVISTA 10 USATODAY 11 COPERNIC 12 ASKJEEVES 13 PEOPLEFIND.COM 14 ABC 15 MSNBC 16 INFOSEEK GO 17 DOGPILE 18 SNAP 19 METACRAWLER 20 WEBCRAWLER 21 NETSCAPE 22 IWON 23 POLITICS.COM 24 HOMP PAGE SEARCH ENGINE 25 NBC 98 DONT KNOW 99 NO ANSWER	3208
DIFSTAND	Label: Some ppl hold standard in workplace that others don? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 DONT KNOW 9 NA	3209
RPTPROBS	Label: Ppl feel free to report problems in workplace Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 DONT KNOW 9 NA	3210
OTHCREDT	Label: Other people take credit for R's work or ideas Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 DONT KNOW 9 NA	3211
PUTDOWN	Label: Ppl at work treat R in a manner putting R down Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 DONT KNOW 9 NA	3212
LACKINFO	Label: Ppl at work fail to give R necessary info Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 DONT KNOW 9 NA	3213
PERSPACE	Label: Ppl at work get in R's Personal space to intimidate Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 DONT KNOW 9 NA	3214
PHYSHARM	Label: R have been threatened with physical harm at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 DONT KNOW 9 NA	3215
ACTUPSET	Label: Ppl at work throw things when upset with R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 DONT KNOW 9 NA	3216
SHOUT	Label: Ppl at work shout at R in hostile manner Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 DONT KNOW 9 NA	3217
HOTARGUS	Label: Heated arguments occur in workplace Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 DONT KNOW 9 NA	3218
RELIEDON	Label: Ppl at work can be relied on when needs help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 SOMEWHAT TRUE 3 NOT TOO TRUE 4 NOT AT ALL TRUE 8 DONT KNOW 9 NA	3219
GDJOBSEC	Label: Job security is good Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY TRUE 2 SOMEWHAT TRUE 3 NOT TOO TRUE 4 NOT AT ALL TRUE 8 DONT KNOW 9 NA	3220
TREATRES	Label: People are treated with respect Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	3221
LOOKAWAY	Label: Ppl look the other way when others are threatened Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	3222
SKIPWORK	Label: How often R stayed at home or leave work early Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 DONT KNOW 9 NA	3223
NUMEMPS	Label: Number of employee for the self-employed Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	3224
IGNORWK	Label: Feel ignored at work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DON'T KNOW 9 No answer	3225
RUMORWK	Label: Rumors or gossip about R at work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DON'T KNOW 9 No answer	3226
JOKESWK	Label: Target of derogatory comments or jokes at work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DON'T KNOW 9 No answer	3227
EHARASWK	Label: Harassed electronically at work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DON'T KNOW 9 No answer	3228
RUDEWK	Label: Treated rudely at work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DON'T KNOW 9 No answer	3229
LIEDCWKR	Label: Lied to at work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DON'T KNOW 9 No answer	3230
DENYRAIS	Label: Denied raise without reason at work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Rarely 4 Never 8 DON'T KNOW 9 No answer	3231
WKBHVRS	Label: Employee doing these things at work to R Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A co-worker 2 Your supervisor or boss 3 A customer/client/patient 8 DON'T KNOW 9 No answer	3232
WKRSPNS	Label: Response to misbehavior from coworkers Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Did nothing (ignored it) 2 Talked to co-workers or other people at work 3 Talked to family or friends 4 Reported the incident to management or those higher up 5 Reported the incident to the union 6 Confronted the person (s) engaging in the behaviors 7 Filed a formal complaint or grievance about the behavior or experiences 8 Did not know what to do 98 DON'T KNOW 99 No answer	3233
NATBORN	Label: What country R were born in Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Mexico 2 Canada 3 China 4 Colombia 5 Cuba 6 Germany 7 Guatemala 8 Haiti 9 Honduras 10 India 11 Jamaica 12 Korea 13 Philippines 14 Poland 15 OTHER 16 Trinidad 17 Antigua 18 Pakistan 19 Belize 20 Guyana 21 Egypt 22 Moldovia 23 Brazil 24 Portugal 25 Panama 26 Iran 27 Ghana 28 Bangladesh 29 Puerto Rico 30 Turkey 31 Italy 32 El Salvidor 33 Greece 34 Ecuador 35 England 36 Thailand 37 Peru 38 Australia 39 Israel 40 Netherlands 41 Macedonia 42 France 43 Argentina 44 Lebanon 45 Russia 46 Cambodia 47 Venezuela 48 Iraq 49 ROMANIA 50 Czech Republic 51 Nicaragua 52 Arabic 53 Gambia 54 West Africa 55 Barbados 56 South Africa 57 Ukraine 58 Hungary 59 Eritrea 60 Ireland 61 Laos 62 Vietnam 63 Senegal 64 Sudan 65 Nigeria 66 Bosnia 67 Uruguay 68 Malaysia 69 Armenia 70 Congo 71 Japan 72 Dutch East Indies 73 Indonesia 74 Africa 75 JORDAN 98 DONT KNOW 99 NO ANSWER	3234
BORNHOME	Label: What kind of house R's family lived at birth Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BOX A 2 BOX B 3 BOX C 4 OTHER 8 DONT KNOW 9 NA	3235
TRAVELUS	Label: Transportation R took when travelling to us Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BOX A 2 BOX B 3 BOX C 4 OTHER 8 DONT KNOW 9 NA	3236
IMMSTATS	Label: R's current immigration status right now Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BOX A 2 BOX B 3 BOX C 4 OTHER 8 DONT KNOW 9 NA	3237
RUNDRSTD	Label: Did R appear to understand 3-box answer format Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 OTHER 8 DONT KNOW 9 NA	3238
ROBJECT	Label: Did R object to or delay answering card c4 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, OBJECTED VERBALLY 2 YES, DELAYED, KEPT SILENT FOR A WHILE 3 NO 4 OTHER 8 DONT KNOW 9 NA	3239
GENEVIG1	Label: Vignette number used Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 IAP	3240
GENEVIG2	Label: Vignette order used Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 IAP	3241
GENENVO1	Label: Gene or learning? Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DONT KNOW 99 NO ANSWER	3242
GENENVO2	Label: Gene or learning? Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DONT KNOW 99 NO ANSWER	3243
GENENVO3	Label: Gene or learning? Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DONT KNOW 99 NO ANSWER	3244
GENENVO4	Label: Gene or learning? Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DONT KNOW 99 NO ANSWER	3245
SATSELF	Label: On the whole I am satisfied with myself Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NO ANSWER	3246
AFAILURE	Label: I am inclined to feel I am a failure Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NO ANSWER	3247
SLFRSPCT	Label: I wish i could have more respect for myself Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NO ANSWER	3248
OFWORTH	Label: I am a person of worth at least equal to others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NO ANSWER	3249
NOGOOD	Label: At times I think I am no good at all Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NO ANSWER	3250
OPTIMIST	Label: I am always optimistic about my future Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NO ANSWER	3251
PESSIMST	Label: I hardly ever expect things to go my way Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NO ANSWER	3252
NOTCOUNT	Label: I rarely count on good things happening to me Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NO ANSWER	3253
MOREGOOD	Label: I expect more good things to happen to me than bad Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NO ANSWER	3254
OWNDOING	Label: Degree of influence over what happens to me Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I HAVE LITTLE INFLUENCE OVER THINGS THAT HAPPENS TO ME 2 WHAT HAPPENS TO ME IS LARGELY MY OWN DOING 8 DONT KNOW 9 REFUSED	3255
GENEEXPS	Label: Genes or experiences in determining Personality Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GENES PLAY MAJOR ROLE IN DETERMINING PERSONALITY 2 IT IS EXPERIENCE THAT DETERMINE PERSONALITY 8 DONT KNOW 9 REFUSED	3256
DEPNDABL	Label: R is a dependable person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 a very good description 2 a good description 3 a fair description 4 not a very good description 5 not a good description at all 8 DONT KNOW 9 REFUSED	3257
SADBLUE	Label: R is a person who feels sad and blue Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 a very good description 2 a good description 3 a fair description 4 not a very good description 5 not a good description at all 8 DONT KNOW 9 REFUSED	3258
ATHLETIC	Label: R is an athletic person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 a very good description 2 a good description 3 a fair description 4 not a very good description 5 not a good description at all 8 DONT KNOW 9 REFUSED	3259
KINDPERS	Label: R is a kind person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 a very good description 2 a good description 3 a fair description 4 not a very good description 5 not a good description at all 8 DONT KNOW 9 REFUSED	3260
SELFISH	Label: R is a selfish person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 a very good description 2 a good description 3 a fair description 4 not a very good description 5 not a good description at all 8 DONT KNOW 9 REFUSED	3261
INTRWGHT	Label: Interview assessment of R's weight Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BELOW AVERAGE 2 AVERAGE 3 SOMEWHAT ABOVE AVERAGE 4 CONSIDERABLY ABOVE AVERAGE 8 DONT KNOW 9 NO ANSWER	3262
AGAPE1	Label: Would suffer than let the one R love suffer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE SOMEWHAT 5 DISAGREE STRONGLY 8 DONT KNOW 9 NA	3263
AGAPE2	Label: Not happy unless the one s happiness is before R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE SOMEWHAT 5 DISAGREE STRONGLY 8 DONT KNOW 9 NA	3264
AGAPE3	Label: Willing to sacrifice wish to let the one achieve Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE SOMEWHAT 5 DISAGREE STRONGLY 8 DONT KNOW 9 NA	3265
AGAPE4	Label: Would endure all things for the one R love Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE SOMEWHAT 5 DISAGREE STRONGLY 8 DONT KNOW 9 NA	3266
HGUNLAW	Label: Should be more restrictions on handgun Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 DONT KNOW 9 NA	3267
HGUNCRIM	Label: More restrictions on handgun decrease crime Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MORE RESTRICTION WOULD DECREASE CRIME 2 MORE RESTRICTION WOULD INCREASE CRIME 3 UNSURE 8 DONT KNOW 9 NA	3268
CRIMUP	Label: What if more restrictions increase crime Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WOULD CHANGE MIND AND OPPOSE MORE RESTRICTIONS 2 WOULD STILL SUPPORT MORE RESTRICTIONS 8 DONT KNOW 9 NA	3269
CRIMDOWN	Label: What if more restrictions reduce crime Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WOULD CHANGE MIND AND SUPPORT MORE RESTRICTIONS 2 WOULD STILL OPPOSE MORE RESTRICTIONS 8 DONT KNOW 9 NA	3270
NUMRELEX	Label: Number of real experience that changed R's life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 7 Seven or more 8 1 or more experience, DK 9 No Answer	3271
AGERELEX	Label: Age of R at religious experience Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3272
CHNGREL	Label: R changed religion because of experience Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	3273
NUMRBORN	Label: How many born-again experience R had Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 8 1 or more experience, DK 9 NO ANSWER	3274
AGERBORN	Label: Age of R at born-again experience Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3275
CHNGRBRN	Label: R changed religion because of experience Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NA	3276
ENTITY	Label: Entity mentions in religious change Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 96 NO MENTION 98 DONT KNOW 99 NO ANSWER	3277
EXPCHNG1	Label: Cause of religious change1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 96 NO MENTION 97 NOTHING SPECIAL HAPPENED 98 DONT KNOW 99 NO ASNWER	3278
EXPCHNG2	Label: Cause of religious change2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 96 NO MENTION 97 NOTHING SPECIAL HAPPENED 98 DONT KNOW 99 NO ASNWER	3279
EXPCHNG3	Label: Cause of religious change3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 96 NO MENTION 97 NOTHING SPECIAL HAPPENED 98 DONT KNOW 99 NO ASNWER	3280
WHYCHNG1	Label: Religious change experience1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 96 NO MENTION 97 NOTHING SPECIAL HAPPENED 98 DONT KNOW 99 NO ASNWER	3281
WHYCHNG2	Label: Religious change experience2 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 96 NO MENTION 97 NOTHING SPECIAL HAPPENED 98 DONT KNOW 99 NO ASNWER	3282
WHYCHNG3	Label: Religious change experience3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 96 NO MENTION 97 NOTHING SPECIAL HAPPENED 98 DONT KNOW 99 NO ASNWER	3283
CHANGED1	Label: Life changes from religious change1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 96 NO MENTION 97 NOTHING SPECIAL HAPPENED 98 DONT KNOW 99 NO ASNWER	3284
CHANGED2	Label: Life changes from religious change2 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 96 NO MENTION 97 NOTHING SPECIAL HAPPENED 98 DONT KNOW 99 NO ASNWER	3285
CHANGED3	Label: Life changes from religious change3 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 96 NO MENTION 97 NOTHING SPECIAL HAPPENED 98 DONT KNOW 99 NO ASNWER	3286
RELALT1	Label: Rel change altered R's outlook on life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NOT AT ALL 7 A GREAT DEAL 8 DONT KNOW 9 REFUSED	3287
RELALT2	Label: Rel change made R sense life was meaningful Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NOT AT ALL 7 A GREAT DEAL 8 DONT KNOW 9 REFUSED	3288
RELALT3	Label: Rel change changed goals in life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NOT AT ALL 7 A GREAT DEAL 8 DONT KNOW 9 REFUSED	3289
RELALT4	Label: Rel change positively affected relation with others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NOT AT ALL 7 A GREAT DEAL 8 DONT KNOW 9 REFUSED	3290
RELALT5	Label: Rel change changed day to day activities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NOT AT ALL 7 A GREAT DEAL 8 DONT KNOW 9 REFUSED	3291
RELALT6	Label: Rel change changed life overall Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NOT AT ALL 7 A GREAT DEAL 8 DONT KNOW 9 REFUSED	3292
ALLOFLFE	Label: Experience connection to all of life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Many times a day 2 Every day 3 Most days 4 Some days 5 Once in a while 6 Never or almost never 8 DONT KNOW 9 NO ANSWER	3293
JOYLIFTS	Label: Feel joy during worship Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Many times a day 2 Every day 3 Most days 4 Some days 5 Once in a while 6 Never or almost never 8 DONT KNOW 9 NO ANSWER	3294
RELSPRT1	Label: Find strength religion or spirituality Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Many times a day 2 Every day 3 Most days 4 Some days 5 Once in a while 6 Never or almost never 8 DONT KNOW 9 NO ANSWER	3295
RELSPRT2	Label: Find comfort in religion or spirituality Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Many times a day 2 Every day 3 Most days 4 Some days 5 Once in a while 6 Never or almost never 8 DONT KNOW 9 NO ANSWER	3296
GODHELP	Label: Ask for gods help in daily activities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Many times a day 2 Every day 3 Most days 4 Some days 5 Once in a while 6 Never or almost never 8 DONT KNOW 9 NO ANSWER	3297
GODGUIDE	Label: Feel guided by god in daily activities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Many times a day 2 Every day 3 Most days 4 Some days 5 Once in a while 6 Never or almost never 8 DONT KNOW 9 NO ANSWER	3298
GODLVDIR	Label: Feel gods love for R directly Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Many times a day 2 Every day 3 Most days 4 Some days 5 Once in a while 6 Never or almost never 8 DONT KNOW 9 NO ANSWER	3299
GODLVOTH	Label: Feel gods love for me through others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Many times a day 2 Every day 3 Most days 4 Some days 5 Once in a while 6 Never or almost never 8 DONT KNOW 9 NO ANSWER	3300
BLESSNGS	Label: Feel thankful for R's blessings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Many times a day 2 Every day 3 Most days 4 Some days 5 Once in a while 6 Never or almost never 8 DONT KNOW 9 NO ANSWER	3301
CLOSRGOD	Label: Desire to be closer to god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Many times a day 2 Every day 3 Most days 4 Some days 5 Once in a while 6 Never or almost never 8 DONT KNOW 9 NO ANSWER	3302
GODCLOSE	Label: How close to god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL CLOSE 2 SOMEWHAT CLOSE 3 VERY CLOSE 4 AS CLOSE AS POSSIBLE 8 DONT KNOW 9 NO ANSWER	3303
IDOLS	Label: Catholics are idols Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NO ANSWER	3304
ROSARIES	Label: Catholic rosaries are superstitious Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NO ANSWER	3305
NOTTHINK	Label: Catholics are not permitted to think Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NO ANSWER	3306
EVDRINK	Label: Ever drank any alcoholic beverage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3307
DRINKYR	Label: How regularly R drink over last 12 months Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Never in those 12 months 2 1 to 3 times in 12 months 3 4 to 7 times in 12 months 4 8 to 11 times in 12 months 5 1 to 3 times a month 6 Once or twice a week 7 3 to 4 times a week 8 5 times a week or more 98 DONT KNOW 99 NO ANSWER	3308
DRINKDAY	Label: How many drinks R have on a day when drinking Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DONT KNOW 99 NO ANSWER	3309
DRINK6UP	Label: How often R has 6 or more drinks in a day Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Never in those 12 months 2 1 to 3 times in 12 months 3 4 to 7 times in 12 months 4 8 to 11 times in 12 months 5 1 to 3 times a month 6 Once or twice a week 7 3 to 4 times a week 8 5 times a week or more 98 DONT KNOW 99 NO ANSWER	3310
DRINKMAX	Label: Largest number of drinks in a day last 12 months Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 DID NOT DRINK AT ALL IN THE LAST 12 MONTHS 1 at least a sip, but less than one full drink 2 at least 1, but less than 3 drinks 3 at least 3, but less than 5 drinks 4 at least 5, but less than 8 drinks 5 at least 8, but less than 12 drinks 6 at least 12, but less than 20 drinks 7 20 or more drinks in a single day 98 DONT KNOW 99 NA	3311
DRINK12	Label: How often at least 12 but less than 20 drinks Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Never in the last 12 months 2 Once in the last 12 months 3 Twice in the last 12 months 4 Three to six times in the last 12 months 5 Seven to eleven times in the last 12 months 6 One to three times a month 7 Once or twice a week 8 Three or four times a week 9 Every day or nearly every day 98 DONT KNOW 99 NO ANSWER	3312
DRINK8	Label: How often at least 8 but less than 12 drinks Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Never in the last 12 months 2 Once in the last 12 months 3 Twice in the last 12 months 4 Three to six times in the last 12 months 5 Seven to eleven times in the last 12 months 6 One to three times a month 7 Once or twice a week 8 Three or four times a week 9 Every day or nearly every day 98 DONT KNOW 99 NO ANSWER	3313
DRINK5	Label: How often at least 5 but less than 8 drinks Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Never in the last 12 months 2 Once in the last 12 months 3 Twice in the last 12 months 4 Three to six times in the last 12 months 5 Seven to eleven times in the last 12 months 6 One to three times a month 7 Once or twice a week 8 Three or four times a week 9 Every day or nearly every day 98 DONT KNOW 99 NO ANSWER	3314
DRINK3	Label: How often at least 3 but less than 5 drinks Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Never in the last 12 months 2 Once in the last 12 months 3 Twice in the last 12 months 4 Three to six times in the last 12 months 5 Seven to eleven times in the last 12 months 6 One to three times a month 7 Once or twice a week 8 Three or four times a week 9 Every day or nearly every day 98 DONT KNOW 99 NO ANSWER	3315
DRINK1	Label: How often at least 1 but less than 3 drinks Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Never in the last 12 months 2 Once in the last 12 months 3 Twice in the last 12 months 4 Three to six times in the last 12 months 5 Seven to eleven times in the last 12 months 6 One to three times a month 7 Once or twice a week 8 Three or four times a week 9 Every day or nearly every day 98 DONT KNOW 99 NO ANSWER	3316
DRINKMIN	Label: How often at least a sip but less than one full drink Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Never in the last 12 months 2 Once in the last 12 months 3 Twice in the last 12 months 4 Three to six times in the last 12 months 5 Seven to eleven times in the last 12 months 6 One to three times a month 7 Once or twice a week 8 Three or four times a week 9 Every day or nearly every day 98 DONT KNOW 99 NO ANSWER	3317
CHURCHTX	Label: Membership in church-related groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3318
INFRMGRP	Label: Any activities with the same group of ppl regularly Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3319
TYPFRAT	Label: R belongs to more than one fraternal groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3320
TYPSERV	Label: R belongs to more than one service clubs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3321
TYPVET	Label: R belongs to more than one veterans groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3322
TYPPOLIT	Label: R belongs to more than one political clubs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3323
TYPUNION	Label: R belongs to more than one labor unions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3324
TYPSPORT	Label: R belongs to more than one sports groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3325
TYPYOUTH	Label: R belongs to more than one youth groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3326
TYPSCHL	Label: R belongs to more than one school service groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3327
TYPHOBBY	Label: R belongs to more than one hobby clubs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3328
TYPGREEK	Label: R belongs to more than one school fraternities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3329
TYPNAT	Label: R belongs to more than one nationality groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3330
TYPFARM	Label: R belongs to more than one farm organizations Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3331
TYPLIT	Label: R belongs to more than one literary groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3332
TYPPROF	Label: R belongs to more than one professional societies Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3333
TYPCHURH	Label: R belongs to more than one church affiliate groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3334
TYPOTHER	Label: R belongs to more than one other groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3335
TYPINFRM	Label: R belongs to more than one informal groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3336
NUMFRAT	Label: How many R belongs to fraternal groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3337
NUMSERV	Label: How many R belongs to service clubs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3338
NUMVET	Label: How many R belongs to veterans groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3339
NUMPOLIT	Label: How many R belongs to political clubs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3340
NUMUNION	Label: How many R belongs to labor unions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3341
NUMSPORT	Label: How many R belongs to sports groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3342
NUMYOUTH	Label: How many R belongs to youth groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3343
NUMSCHL	Label: How many R belongs to school service groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3344
NUMHOBBY	Label: How many R belongs to hobby clubs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3345
NUMGREEK	Label: How many R belongs to school fraternities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3346
NUMNAT	Label: How many R belongs to nationality groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3347
NUMFARM	Label: How many R belongs to farm organizations Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3348
NUMLIT	Label: How many R belongs to literary groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3349
NUMPROF	Label: How many R belongs to professional societies Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3350
NUMCHURH	Label: How many R belongs to church affiliate groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3351
NUMOTHER	Label: How many R belongs to other groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3352
NUMINFRM	Label: How many R belongs to informal groups Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DONT KNOW 9 NO ANSWER	3353
YRFRAT1	Label: How many yrs R been a member of fraternal groups1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3354
YRFRAT2	Label: How many yrs R been a member of fraternal groups2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3355
YRFRAT3	Label: How many yrs R been a member of fraternal groups3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3356
YRFRAT4	Label: How many yrs R been a member of fraternal groups4 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3357
YRSERV1	Label: How many years R been a member of service club1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3358
YRSERV2	Label: How many years R been a member of service club2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3359
YRSERV3	Label: How many years R been a member of service club3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3360
YRSERV4	Label: How many years R been a member of service club4 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3361
YRSERV5	Label: How many years R been a member of service club5 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3362
YRSERV6	Label: How many years R been a member of service club6 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3363
YRSERV7	Label: How many years R been a member of service club7 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3364
YRSERV8	Label: How many years R been a member of service club8 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3365
YRVET1	Label: How many years R been a member of veteran groups1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3366
YRVET2	Label: How many years R been a member of veteran groups2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3367
YRVET3	Label: How many years R been a member of veteran groups3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3368
YRVET4	Label: How many years R been a member of veteran groups4 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3369
YRVET5	Label: How many years R been a member of veteran groups5 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3370
YRPOLIT1	Label: How many years R been a member of political club1 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3371
YRPOLIT2	Label: How many years R been a member of political club2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3372
YRPOLIT3	Label: How many years R been a member of political club3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3373
YRUNION1	Label: How many years R born a member of labor union1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3374
YRUNION2	Label: How many years R born a member of labor union2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3375
YRUNION3	Label: How many years R born a member of labor union3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3376
YRUNION4	Label: How many years R born a member of labor union4 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3377
YRSPORT1	Label: How many years R born a member of sports groups1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3378
YRSPORT2	Label: How many years R born a member of sports groups2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3379
YRSPORT3	Label: How many years R born a member of sports groups3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3380
YRSPORT4	Label: How many years R born a member of sports groups4 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3381
YRSPORT5	Label: How many years R born a member of sports groups5 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3382
YRSPORT6	Label: How many years R born a member of sports groups6 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3383
YRYOUTH1	Label: How many years R born a member of youth groups1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3384
YRYOUTH2	Label: How many years R born a member of youth groups2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3385
YRYOUTH3	Label: How many years R born a member of youth groups3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3386
YRYOUTH4	Label: How many years R born a member of youth groups4 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3387
YRYOUTH5	Label: How many years R born a member of youth groups5 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3388
YRSCHL1	Label: How many years R born a member of school service group1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3389
YRSCHL2	Label: How many years R born a member of school service group2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3390
YRSCHL3	Label: How many years R born a member of school service group3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3391
YRSCHL4	Label: How many years R born a member of school service group4 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3392
YRHOBBY1	Label: How many years R born a member of hobby club1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3393
YRHOBBY2	Label: How many years R born a member of hobby club1 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3394
YRHOBBY3	Label: How many years R born a member of hobby club1 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3395
YRGREEK1	Label: How many years R born a member of school fraternity1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3396
YRGREEK2	Label: How many years R born a member of school fraternity2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3397
YRGREEK3	Label: How many years R born a member of school fraternity3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3398
YRNAT1	Label: How many years R born a member of national group1 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3399
YRNAT2	Label: How many years R born a member of national group2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3400
YRNAT3	Label: How many years R born a member of national group3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3401
YRFARM1	Label: How many years R born a member of farm organization1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3402
YRFARM2	Label: How many years R born a member of farm organization2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3403
YRFARM3	Label: How many years R born a member of farm organization3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3404
YRLIT1	Label: How many years R born a member of literary group1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3405
YRLIT2	Label: How many years R born a member of literary group2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3406
YRLIT3	Label: How many years R born a member of literary group3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3407
YRLIT4	Label: How many years R born a member of literary group4 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3408
YRPROF1	Label: How many years R born a member of professional society1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3409
YRPROF2	Label: How many years R born a member of professional society2 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3410
YRPROF3	Label: How many years R born a member of professional society3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3411
YRPROF4	Label: How many years R born a member of professional society4 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3412
YRPROF5	Label: How many years R born a member of professional society5 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3413
YRPROF6	Label: How many years R born a member of professional society6 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3414
YRCHURH1	Label: How many years R born a member of church group1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3415
YRCHURH2	Label: How many years R born a member of church group2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3416
YRCHURH3	Label: How many years R born a member of church group3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3417
YRCHURH4	Label: How many years R born a member of church group4 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3418
YRCHURH5	Label: How many years R born a member of church group5 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3419
YRCHURH6	Label: How many years R born a member of church group6 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3420
YROTHER1	Label: How many years R born a member of other group1 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3421
YROTHER2	Label: How many years R born a member of other group2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3422
YROTHER3	Label: How many years R born a member of other group3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3423
YROTHER4	Label: How many years R born a member of other group4 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3424
YROTHER5	Label: How many years R born a member of other group5 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3425
YRINFRM1	Label: How many years R born a member of informal group1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3426
YRINFRM2	Label: How many years R born a member of informal group2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3427
YRINFRM3	Label: How many years R born a member of informal group3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3428
YRINFRM4	Label: How many years R born a member of informal group4 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3429
YRINFRM5	Label: How many years R born a member of informal group5 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3430
MTFRAT1	Label: How many years R born a member of fraternity group1 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3431
MTFRAT2	Label: How many years R born a member of fraternity group2 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3432
MTFRAT3	Label: How many years R born a member of fraternity group3 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3433
MTFRAT4	Label: How many years R born a member of fraternity group4 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3434
MTSERV1	Label: Service club1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3435
MTSERV2	Label: Service club2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3436
MTSERV3	Label: Service club3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3437
MTSERV4	Label: Service club4 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3438
MTSERV5	Label: Service club5 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3439
MTSERV6	Label: Service club6 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3440
MTSERV7	Label: Service club7 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3441
MTSERV8	Label: Service club8 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3442
MTVET1	Label: Veteran group1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3443
MTVET2	Label: Veteran group2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3444
MTVET3	Label: Veteran group3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3445
MTVET4	Label: Veteran group4 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3446
MTVET5	Label: Veteran group5 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3447
MTPOLIT1	Label: Political club1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3448
MTPOLIT2	Label: Political club2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3449
MTPOLIT3	Label: Political club3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3450
MTUNION1	Label: Labor union1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3451
MTUNION2	Label: Labor union2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3452
MTUNION3	Label: Labor union3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3453
MTUNION4	Label: Labor union4 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3454
MTSPORT1	Label: Sport club1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3455
MTSPORT2	Label: Sport club2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3456
MTSPORT3	Label: Sport club3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3457
MTSPORT4	Label: Sport club4 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3458
MTSPORT5	Label: Sport club5 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3459
MTSPORT6	Label: Sport club6 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3460
MTYOUTH1	Label: Youth group1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3461
MTYOUTH2	Label: Youth group2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3462
MTYOUTH3	Label: Youth group3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3463
MTYOUTH4	Label: Youth group4 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3464
MTYOUTH5	Label: Youth group5 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3465
MTSCHL1	Label: School service group1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3466
MTSCHL2	Label: School service group2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3467
MTSCHL3	Label: School service group3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3468
MTSCHL4	Label: School service group4 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3469
MTHOBBY1	Label: Hobby club1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3470
MTHOBBY2	Label: Hobby club2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3471
MTHOBBY3	Label: Hobby club3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3472
MTGREEK1	Label: School frarternity1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3473
MTGREEK2	Label: School frarternity2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3474
MTGREEK3	Label: School frarternity3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3475
MTNAT1	Label: Nationality group1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3476
MTNAT2	Label: Nationality group2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3477
MTNAT3	Label: Nationality group3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3478
MTFARM1	Label: Farm organization1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3479
MTFARM2	Label: Farm organization2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3480
MTFARM3	Label: Farm organization3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3481
MTLIT1	Label: Military group1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3482
MTLIT2	Label: Military group2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3483
MTLIT3	Label: Military group3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3484
MTLIT4	Label: Military group4 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3485
MTPROF1	Label: Professional society1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3486
MTPROF2	Label: Professional society2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3487
MTPROF3	Label: Professional society3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3488
MTPROF4	Label: Professional society4 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3489
MTPROF5	Label: Professional society5 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3490
MTPROF6	Label: Professional society6 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3491
MTCHURH1	Label: Church group1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3492
MTCHURH2	Label: Church group2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3493
MTCHURH3	Label: Church group3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3494
MTCHURH4	Label: Church group4 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3495
MTCHURH5	Label: Church group5 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3496
MTCHURH6	Label: Church group6 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3497
MTOTHER1	Label: Other group1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3498
MTOTHER2	Label: Other group2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3499
MTOTHER3	Label: Other group3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3500
MTOTHER4	Label: Other group4 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3501
MTOTHER5	Label: Other group5 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3502
MTINFRM1	Label: Informal group1 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3503
MTINFRM2	Label: Informal group2 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3504
MTINFRM3	Label: Informal group3 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3505
MTINFRM4	Label: Informal group4 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3506
MTINFRM5	Label: Informal group5 meets in this area Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3507
GRPBOTH1	Label: Both belong to the same group on the list Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3508
GRPBOTH2	Label: Both belong to the same group on the list Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3509
GRPBOTH3	Label: Both belong to the same group on the list Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3510
GRPBOTH4	Label: Both belong to the same group on the list Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3511
GRPBOTH5	Label: Both belong to the same group on the list Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	3512
FRSTMET1	Label: R first met the named alter in the group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, ONE OF THESE GROUPS 2 NO, SOMEWHERE ELSE 8 DONT KNOW 9 NO ANSWER	3513
FRSTMET2	Label: R first met the named alter in the group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, ONE OF THESE GROUPS 2 NO, SOMEWHERE ELSE 8 DONT KNOW 9 NO ANSWER	3514
FRSTMET3	Label: R first met the named alter in the group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, ONE OF THESE GROUPS 2 NO, SOMEWHERE ELSE 8 DONT KNOW 9 NO ANSWER	3515
FRSTMET4	Label: R first met the named alter in the group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, ONE OF THESE GROUPS 2 NO, SOMEWHERE ELSE 8 DONT KNOW 9 NO ANSWER	3516
FRSTMET5	Label: R first met the named alter in the group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, ONE OF THESE GROUPS 2 NO, SOMEWHERE ELSE 8 DONT KNOW 9 NO ANSWER	3517
YRSKWN1	Label: Years R has known the named1 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3518
YRSKWN2	Label: Years R has known the named2 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3519
YRSKWN3	Label: Years R has known the named3 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3520
YRSKWN4	Label: Years R has known the named4 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3521
YRSKWN5	Label: Years R has known the named5 Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	3522
RELNEG	Label: Any turning point when less committed to religion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3523
NEWSFROM	Label: Main source of information about events in the news Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Newspapers 2 Magazines 3 The Internet 4 Books Other printed material 5 TV 6 Radio 7 Government agencies 8 Family 9 Friends Colleagues 10 Other 98 DONT KNOW 99 NO ANSWER	3524
SCIFROM	Label: Main source of information about science and technology Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Newspapers 2 Magazines 3 The Internet 4 Books Other printed material 5 TV 6 Radio 7 Government agencies 8 Family 9 Friends Colleagues 10 Other 11 Ted Talks 98 DONT KNOW 99 NO ANSWER	3525
SEEKSCI	Label: Probable source of information about scientific issues Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Newspapers 2 Magazines 3 The Internet 4 Books Other printed material 5 TV 6 Radio 7 Government agencies 8 Family 9 Friends Colleagues 10 Library 11 Other 98 DONT KNOW 99 NO ANSWER	3526
NEXTGEN	Label: Science & tech. give more opportunities to next generation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DONT KNOW 9 NO ANSWER	3527
TOOFAST	Label: Science makes our way of life change too fast Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DONT KNOW 9 NO ANSWER	3528
BETTRLFE	Label: Science makes our lives better Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 Don't know 9 No answer	3529
ADVFRONT	Label: Sci Rsch is necessary and should be supported by federal govt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DONT KNOW 9 NO ANSWER	3530
SCISPEC	Label: Science is too concerned with theory and speculation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DONT KNOW 9 NO ANSWER	3531
LEADSCI	Label: Shld pay attntn only to theory accepted by leading scientists Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DONT KNOW 9 NO ANSWER	3532
WHICHSCI	Label: Industry scientists less reliable than univeR'sity scientists Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DONT KNOW 9 NO ANSWER	3533
ASTROLGY	Label: Ever read a horoscope or Personal astrology report Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3534
ASTROSCI	Label: Astrology is scientific Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Sort of scientific 3 Not at all scientific 8 DONT KNOW 9 NO ANSWER	3535
SCIBNFTS	Label: Benefits of sci research outweigh harmful results Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Benefits greater 2 ABOUT EQUAL IF VOLUNTEERED 3 Harmful results greater 8 DONT KNOW 9 NO ANSWER	3536
BALPOS	Label: Sci research is strongly in favor of benefits Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly in favor 2 Slightly in favor 8 DONT KNOW 9 NO ANSWER	3537
BALNEG	Label: Sci research is strongly in favor of harmful results Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly in favor 2 Slightly in favor 8 DONT KNOW 9 NO ANSWER	3538
SCISTUDY	Label: R has clear understanding of scientific study Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Clear understanding 2 General sense 3 Little understanding 8 DONT KNOW 9 NO ANSWER	3539
SCITEXT	Label: What it means to R to study scientifically Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Formulation of Theories Test Hypotheses 2 Do experiments Control Group 3 Rigorous Systematic Comparison 4 Measurement 5 Classification 6 Redundancies Incorrect 8 Don t Know Uncodeable 9 No Answer Blank	3540
EXPDESGN	Label: Better way to test drug btw control and non-control Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 All 1000 get the drug 2 500 get the drug 500 dont 8 DONT KNOW 9 NO ANSWER	3541
EXPTEXT	Label: Why is it better to test drug this way Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9; 98 Value Label 0 IAP 1 Correct Control Group 2 Correct Vague Reason 3 Correct Wrong Reason 4 Correct Don t Know 5 Wrong Reservations about Control Group 6 Wrong Reservations about Sample 7 Wrong Other Reason 8 Wrong Don t Know 9 NO ANSWER 98 Uncodeable 99 Blank	3542
ODDS1	Label: Test of knowledge about probablity1 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3543
ODDS2	Label: Test of knowledge about probablity2 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3544
HOTCORE	Label: Sci knowledge: the center of earth is very hot Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3545
RADIOACT	Label: Sci knowledge: allradioactivity is man-made Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3546
BOYORGRL	Label: Sci knowledge: father gene decides sex of baby Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3547
LASERS	Label: Sci knowledge: laseR's work by focusing sound waves Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3548
ELECTRON	Label: Sci knowledge: electrons are smaller than atoms Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3549
VIRUSES	Label: Sci knowledge: antibiotics kill viruses as well as bacteria Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3550
BIGBANG	Label: Sci knowledge: the univeR'se began with a huge explosion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3551
BIGBANG1	Label: Universe began with a big explosion: true or false Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TRUE 2 FALSE 8 DON'T KNOW 9 No answer	3552
BIGBANG2	Label: Universe expanding since it began: true or false Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3553
CONDRIFT	Label: Sci knowledge: the continents have been moving Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3554
EVOLVED	Label: Sci knowledge: human beings developed from animals Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3555
EVOLVED1	Label: Humans developed from earlier species: true or false Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TRUE 2 FALSE 8 DON'T KNOW 9 No answer	3556
EVOLVED2	Label: Elephants evolved from earlier species: true or false Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DK 9 NA	3557
EARTHSUN	Label: Sci knowledge: the earth goes around the sun Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Earth around sun 2 Sun around earth 8 DONT KNOW 9 NO ANSWER	3558
SOLARREV	Label: Sci knowledge: how long the earth goes around the sun Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 One day 2 One month 3 One year 4 OTHER TIME PERIOD IF VOLUNTEERED 8 DONT KNOW 9 NO ANSWER	3559
TOMATOES	Label: Regular tomatoes no genes Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DON'T KNOW 9 No answer	3560
INTRHOME	Label: Internet access in R's home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3561
COLDEG1	Label: The highest degree R have earned Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 ASSOCIATE'S 2 BACHELOR'S 3 MASTER'S 4 MBA 5 LAW 6 PHD 7 MD 8 OTHER 98 DONT KNOW 99 NO ANSWER	3562
MAJORCOL	Label: The field of degree R earned Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 ACCOUNTING/BOOKKEEPING 2 ADVERTISING 3 AGRICULTURE 4 ALLIED HEALTH 5 ANTHROPOLGY 6 ARCHITECTURE 7 ART 8 BIOLOGY 9 BUSINESS ADMINISTRATION 11 CHEMISTRY 12 COMMUNICATIONS/SPEECH 13 COMM. DISORDERS 14 COMPUTER SCIENCE 15 DENTISTRY 16 EDUCATION 17 ECONOMICS 18 ENGINEERING 19 ENGLISH 20 FINANCE 21 FOREIGN LANGUAGE 22 FORESTRY 23 GEOGRAPHY 24 GEOLOGY 25 HISTORY 26 HOME ECONOMICS 27 INDUSTRY & TECHN 28 JOURNALISM 29 LAW 30 LAW ENFORCEMENT 31 LIBRARY SCIENCE 32 MARKETING 33 MATHMATICS 34 MEDICINE 35 MUSIC 36 NURSING 37 OPTOMETRY 38 PHARMACY 39 PHILOSOPHY 40 PHYSICAL EDUCATION 41 PHYSICS 42 PSYCHOLOGY 43 POLITICAL SCIENCE 44 SOCOLOGY 45 SPECIAL EDUCATION 46 THEATER ARTS 47 THEOLOGY 48 VETERINARY MEDICINE 49 LIBERAL ARTS 50 OTHER 51 GENERAL SCIENCES 52 SOCIAL WORK 53 GENERAL STUDIES 54 OTHER VOCATIONAL 55 HEALTH 56 Industrial relations 57 Child development 58 Food science/nutrition/culinary arts 59 Environment science/studies 60 Social sciences 61 Human services 62 Visual arts/graphic design 63 Fine arts 64 Humanities 65 Ethnic studies 66 Educational administration 67 TV, film 68 Aviation, aeronatics 69 Statistics 70 Criminology/Criminal Justice 71 Administrative Science/Public Administration 72 Electronics 73 Urban and Regional Planning 74 Mechanics/Machine Trade 75 Dance 76 Gerontology 77 Public Relations 78 Textiles/Cloth 79 Parks and Recreation 80 Information technology 81 Fashion 82 Counseling 98 DK/UNCODED 99 No answer	3563
COLSCI	Label: R has taken any college-level sci course Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3564
COLSCINM	Label: Number of college-level sci courses R have taken Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DONT KNOW 99 NO ANSWER	3565
HSMATH	Label: The highest level of math R completed in high school Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 NO MATH IN HS DIDN'T GO TO HS 1 GENERAL MATH, BUSINESS, OR VOCATIONAL MATH 2 PRE-ALGEBRA 3 ONE YEAR OF ALGEBRA 4 TWO YEARS OF ALGEBRA 5 GEOMETRY PLANE OR SOLID OR BOTH 6 TRIGONOMETRY LINEAR PROGRAMMING ANALYSIS 7 PRE-CALCULUS 8 CALCULUS 9 STATISTICS PROBABILITY 10 OTHER 98 DONT KNOW 99 NO ANSWER	3566
HSBIO	Label: R ever took a high school biology course Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3567
HSCHEM	Label: R ever took a high school chemistry course Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3568
HSPHYS	Label: R ever took a high school physics course Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3569
GWSCI	Label: Understanding of global warming by environmnt scientists Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3570
GWPOL	Label: Understanding of global warming by elected officials Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3571
GWBIZ	Label: Understanding of global warming by business leaders Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3572
SCIAGRGW	Label: Extent of agreement on global warming amg env scientists Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Near Complete agreement 5 No agreement at all 8 DONT KNOW 9 NO ANSWER	3573
SCIINFGW	Label: Influence on global warming policy: environmntal scientists Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DONT KNOW 9 NO ANSWER	3574
POLINFGW	Label: Influence on global warming policy: elected official Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DONT KNOW 9 NO ANSWER	3575
BIZINFGW	Label: Influence on global warming policy: business leader Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DONT KNOW 9 NO ANSWER	3576
SCIBSTGW	Label: Best policy vs narrow interest: environmental scientist Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DONT KNOW 9 NO ANSWER	3577
POLBSTGW	Label: Best policy vs narrow interest: elected official Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DONT KNOW 9 NO ANSWER	3578
BIZBSTGW	Label: Best policy vs narrow interest: business leader Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DONT KNOW 9 NO ANSWER	3579
GASREGS	Label: How much R favor requiring to make caR's using less gasoline Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly favor 2 Favor 3 Neither favor nor oppose 4 Oppose 5 Strongly oppose 8 DONT KNOW 9 NO ANSWER	3580
SCMED	Label: How well medical researcheR's understand stem cells Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3581
SCRELIG	Label: How well religious leaders understand stem cells Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3582
SCPOL	Label: How well elected officials understand stem cells Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3583
MEDAGRSC	Label: Agreement by med researchers on importance of stem cell rsch Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Near Complete agreement 5 No agreement at all 8 DONT KNOW 9 NO ANSWER	3584
MEDINFSC	Label: Influence on funding for stem cell rsch: medical researchers Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DONT KNOW 9 NO ANSWER	3585
RELINFSC	Label: Influence on funding for stem cell rsch: religious leaders Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DONT KNOW 9 NO ANSWER	3586
POLINFSC	Label: Influence on funding for stem cell rsch: elected officials Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DONT KNOW 9 NO ANSWER	3587
MEDBSTSC	Label: Best policy on stem cell vs narrow interest: med researcher Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DONT KNOW 9 NO ANSWER	3588
RELBSTSC	Label: Best policy on stem cell vs narrow interest: relig leader Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DONT KNOW 9 NO ANSWER	3589
POLBSTSC	Label: Best policy on stem cell vs narrow interest: elected official Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DONT KNOW 9 NO ANSWER	3590
SCRESRCH	Label: Government should fund stem cell research Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should fund such research 2 Probably should fund such research 3 Probably should not fund such research 4 Definitely should not fund such research 8 DONT KNOW 9 NO ANSWER	3591
TXECO	Label: How well economist knows effect of reducing fed income tax Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3592
TXBIZ	Label: How well business leader knows effect of reducing fed inc tax Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3593
TXPOL	Label: How well elected official knows effect of reducing fed inc tax Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3594
ECOAGREE	Label: Agreement by economists on effect of reducing fed inc tax Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Near Complete agreement 5 No agreement at all 8 DONT KNOW 9 NO ANSWER	3595
ECOINFTX	Label: Influence on reducing fed inc taxby economists Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DONT KNOW 9 NO ANSWER	3596
BIZINFTX	Label: Influence on reducing fed inc taxby business leaders Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DONT KNOW 9 NO ANSWER	3597
POLINFTX	Label: Influence on reducing fed inc taxby elected officials Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DONT KNOW 9 NO ANSWER	3598
ECOBSTTX	Label: Best policy vs narrow interest on fed inc tax: economist Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DONT KNOW 9 NO ANSWER	3599
BIZBSTTX	Label: Best policy vs narrow interest on fed inc tax: business leader Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DONT KNOW 9 NO ANSWER	3600
POLBSTTX	Label: Best policy vs narrow interest on fed inc tax: elected official Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DONT KNOW 9 NO ANSWER	3601
GMMED	Label: How well med researcher know risk by genetically modified foods Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3602
GMPOL	Label: How well elected official know risk by genetically modified foods Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3603
GMBIZ	Label: How well business leader know risk by genetically modified foods Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3604
MEDAGRGM	Label: Med researcher: agreement on effect of genetically modified food Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Near Complete agreement 5 No agreement at all 8 DONT KNOW 9 NO ANSWER	3605
MEDINFGM	Label: Influence on restricting gmf by medical researcheR's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DONT KNOW 9 NO ANSWER	3606
POLINFGM	Label: Influence on restricting gmf by elected officials Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DONT KNOW 9 NO ANSWER	3607
BIZINFGM	Label: Influence on restricting gmf by business leaders Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DONT KNOW 9 NO ANSWER	3608
MEDBSTGM	Label: Best policy on gmf vs narrow interest: medical researcher Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DONT KNOW 9 NO ANSWER	3609
POLBSTGM	Label: Best policy on gmf vs narrow interest: elected official Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DONT KNOW 9 NO ANSWER	3610
BIZBSTGM	Label: Best policy on gmf vs narrow interest: business leader Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DONT KNOW 9 NO ANSWER	3611
EATGM	Label: R's view about eating genetically modified foods Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Dont care whether or not food has been genetically modified 2 Willing to eat but would prefer unmodified foods 3 Will not eat genetically modified food 8 DONT KNOW 9 NO ANSWER	3612
SCIIMP1	Label: How important: done by scientists in univeR'sity settings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very important 2 Pretty important 3 Not too important 4 Not important at all 8 DONT KNOW 9 NO ANSWER	3613
SCIIMP2	Label: How important: having advanced degrees in their fields Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very important 2 Pretty important 3 Not too important 4 Not important at all 8 DONT KNOW 9 NO ANSWER	3614
SCIIMP3	Label: How important: conclusion based on solid evidence Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very important 2 Pretty important 3 Not too important 4 Not important at all 8 DONT KNOW 9 NO ANSWER	3615
SCIIMP4	Label: How important: examining different interpretation of results Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very important 2 Pretty important 3 Not too important 4 Not important at all 8 DONT KNOW 9 NO ANSWER	3616
SCIIMP5	Label: How important: results consistent with religious beliefs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very important 2 Pretty important 3 Not too important 4 Not important at all 8 DONT KNOW 9 NO ANSWER	3617
SCIIMP6	Label: How important: results consistent with common sense Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very important 2 Pretty important 3 Not too important 4 Not important at all 8 DONT KNOW 9 NO ANSWER	3618
SCIIMP7	Label: How important: repeating experiment & finding same result Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very important 2 Pretty important 3 Not too important 4 Not important at all 8 DONT KNOW 9 NO ANSWER	3619
SCIIMP8	Label: How important: research takes place in a laboratory Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very important 2 Pretty important 3 Not too important 4 Not important at all 8 DONT KNOW 9 NO ANSWER	3620
SOCSCI	Label: How scientific: sociology Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVENT HEARD OF IT VOLUNTEERED 8 DONT KNOW 9 NO ANSWER	3621
PHYSCSCI	Label: How scientific: physics Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVENT HEARD OF IT VOLUNTEERED 8 DONT KNOW 9 NO ANSWER	3622
HISTSCI	Label: How scientific: history Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVENT HEARD OF IT VOLUNTEERED 8 DONT KNOW 9 NO ANSWER	3623
ACCNTSCI	Label: How scientific: accounting Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVENT HEARD OF IT VOLUNTEERED 8 DONT KNOW 9 NO ANSWER	3624
BIOSCI	Label: How scientific: biology Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVENT HEARD OF IT VOLUNTEERED 8 DONT KNOW 9 NO ANSWER	3625
ECONSCI	Label: How scientific: economics Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVENT HEARD OF IT VOLUNTEERED 8 DONT KNOW 9 NO ANSWER	3626
MEDSCI	Label: How scientific: medicine Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVENT HEARD OF IT VOLUNTEERED 8 DONT KNOW 9 NO ANSWER	3627
ENGNRSCI	Label: How scientific: engineering Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVENT HEARD OF IT VOLUNTEERED 8 DONT KNOW 9 NO ANSWER	3628
KNWFORGN	Label: Level of R's information: foreign policy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very informed 2 Somewhat informed 3 Neither informed nor uninformed 4 Somewhat uninformed 5 Very uninformed 8 DONT KNOW 9 NO ANSWER	3629
KNWECON	Label: Level of R's information: economic policy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very informed 2 Somewhat informed 3 Neither informed nor uninformed 4 Somewhat uninformed 5 Very uninformed 8 DONT KNOW 9 NO ANSWER	3630
KNWSCI	Label: Level of R's information: science and technology Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very informed 2 Somewhat informed 3 Neither informed nor uninformed 4 Somewhat uninformed 5 Very uninformed 8 DONT KNOW 9 NO ANSWER	3631
KNWGW	Label: Level of R's information: global warming Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very informed 2 Somewhat informed 3 Neither informed nor uninformed 4 Somewhat uninformed 5 Very uninformed 8 DONT KNOW 9 NO ANSWER	3632
KNWPOLAR	Label: Level of R's information: the north and south poles Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very informed 2 Somewhat informed 3 Neither informed nor uninformed 4 Somewhat uninformed 5 Very uninformed 8 DONT KNOW 9 NO ANSWER	3633
TVBEARS	Label: R would choose TV program about polar bears Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Somewhat unlikely 4 Very unlikely 8 DONT KNOW 9 NO ANSWER	3634
TVINUIT	Label: R would choose TV program about native ppl in the arctic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Somewhat unlikely 4 Very unlikely 8 DONT KNOW 9 NO ANSWER	3635
TVOZONE	Label: R would choose TV program about ozone hole over the antarctic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Somewhat unlikely 4 Very unlikely 8 DONT KNOW 9 NO ANSWER	3636
TVMELTNG	Label: R would choose TV program about polar ice melting Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Somewhat unlikely 4 Very unlikely 8 DONT KNOW 9 NO ANSWER	3637
TVOIL	Label: R would choose TV program about oil drilling in the arctic Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Somewhat unlikely 4 Very unlikely 8 DONT KNOW 9 NO ANSWER	3638
POLARYR1	Label: Intl polar year 07-08:R would watch a TV program Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Somewhat unlikely 4 Very unlikely 8 DONT KNOW 9 NO ANSWER	3639
POLARYR2	Label: Intl polar year 07-08:R would read a newspaper article Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Somewhat unlikely 4 Very unlikely 8 DONT KNOW 9 NO ANSWER	3640
POLARYR3	Label: Intl polar year 07-08:R would read a magazine article Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Somewhat unlikely 4 Very unlikely 8 DONT KNOW 9 NO ANSWER	3641
POLARYR4	Label: Intl polar year 07-08:R would go to museum Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Somewhat unlikely 4 Very unlikely 8 DONT KNOW 9 NO ANSWER	3642
POLARYR5	Label: Intl polar year 07-08:R would watch a feature film Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Somewhat unlikely 4 Very unlikely 8 DONT KNOW 9 NO ANSWER	3643
POLARYR6	Label: Intl polar year 07-08:R would read a book Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Somewhat unlikely 4 Very unlikely 8 DONT KNOW 9 NO ANSWER	3644
POLARYR7	Label: Intl polar year 07-08:R would visit a web site Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Somewhat unlikely 4 Very unlikely 8 DONT KNOW 9 NO ANSWER	3645
POLARYR8	Label: Intl polar year 07-08:R would attend a live lecture Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Somewhat unlikely 4 Very unlikely 8 DONT KNOW 9 NO ANSWER	3646
ICESHEET	Label: True-false: the north pole is on a sheet of ice Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3647
NOSUN	Label: True-false: the sun never shines at the south pole Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3648
INUIT	Label: True-false: inuit live north of the arctic circle Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3649
HUNTBEAR	Label: True-false: hunting make polar bear extinct than climate change Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3650
ICECAPS	Label: Polar ice caps got larger or smaller over last 25 yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Larger 2 Smaller 3 STAYED THE SAME:VOLUNTEERED 8 DONT KNOW 9 NO ANSWER	3651
COMORSCI	Label: Antarctica should be reserved or open Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly support reserving Antarctica 2 Somewhat support reserving Antarctica 3 Dont lean one way or the other on this issue 4 Somewhat support opening Antarctica 5 Strongly support opening Antarctica 8 DONT KNOW 9 NO ANSWER	3652
EXTINCT	Label: Effect of global warming: polar beaR's become extinct Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal 2 Some 3 A little 4 Not at all 8 DONT KNOW 9 NO ANSWER	3653
SEALEVEL	Label: Effect of global warming: sea level flood coastal areas Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal 2 Some 3 A little 4 Not at all 8 DONT KNOW 9 NO ANSWER	3654
ARTSEALS	Label: Effect of global warming: arctic seals are threatened Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal 2 Some 3 A little 4 Not at all 8 DONT KNOW 9 NO ANSWER	3655
PENGUINS	Label: Antarctic penguins threatened Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal 2 Some 3 A little 4 Not at all 8 DON'T KNOW 9 No answer	3656
INUITWAY	Label: Effect of global warming: inuit no longer follow traditional way of life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal 2 Some 3 A little 4 Not at all 8 DONT KNOW 9 NO ANSWER	3657
NOICECAP	Label: Effect of global warming: northern ice cap melt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal 2 Some 3 A little 4 Not at all 8 DONT KNOW 9 NO ANSWER	3658
CAREMOST	Label: Most concerned possible effect of global warming Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 The extinction of the polar bears 2 The rise in sea level 3 The threat to the Arctic seals 4 The threat to the Inuit way of life 5 The melting of the northern ice cap 8 DONT KNOW 9 NO ANSWER	3659
NANOTECH	Label: How much R heard about nanotechnology Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A lot 2 Some 3 Just a little 4 Nothing at all 8 DONT KNOW 9 NO ANSWER	3660
NANOKNW1	Label: True-false: nanotechnology manipulate extremely small units Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3661
NANOKNW2	Label: True-false: nanoscale differ from same material at larger scale Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DONT KNOW 9 NO ANSWER	3662
NANOWILL	Label: Benefit of nanotechnology outweigh harmful results Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Benefits greater 2 ABOUT EQUAL:IF VOLUNTEERED 3 Harmful results greater 8 DONT KNOW 9 NO ANSWER	3663
NANOBEN	Label: Balance will be strongly in favor of the benefits or slightly Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly in favor 2 Slightly in favor 8 DONT KNOW 9 NA	3664
NANOHARM	Label: Balance will be strongly in favor of the benefits or slightly Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly in favor 2 Slightly in favor 8 DONT KNOW 9 NA	3665
SCIMODE	Label: Was SAQ self administered or interview administered Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0 Value Label 0 IAP 1 Assigned and done as Interviewed 2 Assigned and done as SAQ 3 Assigned as SAQ, done in interview due to R's request/inability to do as SAQ 4 Assigned as SAQ, done as interview on phone	3666
INTINTL	Label: Interested in international issues Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very interested 2 Moderately interested 3 Not at all interested 8 DONT KNOW 9 NA	3667
INTFARM	Label: Interested in farm issues Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very interested 2 Moderately interested 3 Not at all interested 8 DONT KNOW 9 NA	3668
INTEDUC	Label: Interested in local school issues Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very interested 2 Moderately interested 3 Not at all interested 8 DONT KNOW 9 NA	3669
INTSCI	Label: Interested in new scientific dISCOveries Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very interested 2 Moderately interested 3 Not at all interested 8 DONT KNOW 9 NA	3670
INTECON	Label: Interested in economic issues Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very interested 2 Moderately interested 3 Not at all interested 8 DONT KNOW 9 NA	3671
INTTECH	Label: Interested in technologies Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very interested 2 Moderately interested 3 Not at all interested 8 DONT KNOW 9 NA	3672
INTMED	Label: Interested in medical dISCOveries Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very interested 2 Moderately interested 3 Not at all interested 8 DONT KNOW 9 NA	3673
INTSPACE	Label: Interested in space exploration Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very interested 2 Moderately interested 3 Not at all interested 8 DONT KNOW 9 NA	3674
INTENVIR	Label: Interested in environmental issues Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very interested 2 Moderately interested 3 Not at all interested 8 DONT KNOW 9 NA	3675
INTMIL	Label: Interested in military policy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very interested 2 Moderately interested 3 Not at all interested 8 DONT KNOW 9 NA	3676
SCIINTRO	Label: Which version of science introduction was used Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0 Value Label 0 IAP 1 Intro Version 1 2 Intro Version 2	3677
VISART	Label: How often R visited art museum last year Format: F4.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DONT KNOW 999 NA	3678
VISNHIST	Label: How often R visited natural history museum last year Format: F4.0 Measure: Nominal Display Width: 10 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DONT KNOW 999 NA	3679
VISZOO	Label: How often R visited zoolast year Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DONT KNOW 999 NA	3680
VISSCI	Label: How often R visited science museum Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DONT KNOW 999 NA	3681
VISLIB	Label: How often R visited public library last year Format: F4.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DONT KNOW 999 NA	3682
SCIMATH	Label: Quality of science & math educ in us is inadequate Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DONT KNOW 9 NA	3683
ANSCITST	Label: Scientists shld be allowed to do research animals' pain & injury Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DONT KNOW 9 NA	3684
MABOYGRL	Label: Does mom's gene decide baby's sex Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TRUE 2 FALSE 8 DONT KNOW 9 NA	3685
H2OLIFE	Label: What property of water is most important Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 It is odorless 2 It does not conduct electricity 3 It is tasteless 4 It is liquid at most temperatures on Earth 8 DONT KNOW 9 NA	3686
ANHEAT	Label: Which bodily features be best suited to a small animal living in a cold climate Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Long ears and a long body 2 Small ears and a short tail 3 A long nose and a long tail 4 A short nose and large ears 5 A long tail and a short nose 8 DONT KNOW 9 NA	3687
LFTPLANE	Label: Key factor that enables airplane to lift Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Air pressure beneath the wing is greater than that above the wing 2 Pressure within the airplane is greater than that of the outside 3 Engine power is greater than that of friction 4 The plane's wing is lighter than air 8 DONT KNOW 9 NA	3688
STORMTXT	Label: Do you see lightning before hearing thunder Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE 2 PARTIAL 3 UNSATISFACTORY/INCORRECT 8 DONT KNOW 9 NA	3689
LITMSTXT	Label: Why litmus paper doesn't change color in mixed solution Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE 2 PARTIAL 3 UNSATISFACTORY/INCORRECT 8 DONT KNOW 9 NA	3690
GOLDFISH	Label: Experiment about goldfish and temperature Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Experiment A 2 Experiment B 3 Experiment C 4 Experiment D 8 DONT KNOW 9 NA	3691
SALTH2O	Label: Ocean water for vegetables Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, because there is plenty of ocean water 2 Yes, because ocean water has many natural fertilizers 3 No, because ocean water is too salty for plants grown on land 4 No, because ocean water is much more polluted than rainwater 8 DONT KNOW 9 NA	3692
EROSION	Label: Example of erosion Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 The wind in the desert blows sand against a rock 2 A glacier picks up boulders as it moves 3 A flood washes over a riverbank, and the water carries small soil particles downstream 4 An icy winter causes the pavement in a road to crack 8 DONT KNOW 9 NA	3693
GENES	Label: Traits are transferred over generation Format: F1.0 Measure: Nominal Display Width: 7 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Sperm only 2 Egg only 3 Sperm and egg 4 Testes 8 DONT KNOW 9 NA	3694
GILLS	Label: How fish get oxygen Format: F1.0 Measure: Nominal Display Width: 7 Missing Values: 0; 8; 9 Value Label 0 IAP 1 They take in water and break it down into hydrogen and oxygen 2 Using their gills, they take in oxygen that is dissolved in water 3 They get their oxygen from the food they eat 4 They come to the surface every few minutes to breathe air into their lungs 8 DONT KNOW 9 NA	3695
UPBREATH	Label: Why short breath at the top of a mountain Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A slower pulse rate 2 A greater gravitational force on the body 3 A lower percent of oxygen in the blood 4 A faster heartbeat 5 A slower circulation of blood 8 DONT KNOW 9 NA	3696
DAYNIGHT	Label: When did most errors occur Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 2 A.M. to 4 A.M. 2 8 A.M. to 10 A.M. 3 12 P.M. to 2 P.M. 4 2 P.M. to 4 P.M. 5 8 P.M. to 10 P.M. 8 DONT KNOW 9 NA	3697
WEIGHING	Label: Which is the best method to report weight of leaf Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Ask the teacher to weigh the leaf 2 Report the first measurement 3 Average all of the weights that were recorded 4 Average the highest and lowest weights recorded 5 Discard the lowest five weights 8 DONT KNOW 9 NA	3698
SEESAND	Label: Which picture shows what she should use for the 2nd pot Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Sunlight. Sand and water 2 Dark cupboard. Sand, soil, and water 3 Dark cupboard. Soil and water 4 Sunlight. Sand and soil 5 Sunlight. Soil and water 8 DONT KNOW 9 NA	3699
FISHEXP1	Label: What is scientist trying to find out from this experiment Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 If the number of fish in the fish bowl affects the behavior of the fish 2 If the temperature of the fish bowl affects the behavior of the fish 3 If the temperature and the amount of light affect the behavior of the fish 4 If the number of fish, the temperature, and the amount of light affect the behavior of the fish 8 DONT KNOW 9 NA	3700
FISHEXP2	Label: Why did you choose that answer Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Because I already know what affects the behavior of fish 2 Because that is what is allowed to change in this experiment 3 Because that is what stays the same in this experiment 4 Because that is what the scientist decided to include in this experiment 8 DONT KNOW 9 NA	3701
MOREMPG	Label: Cars use less gasoline Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly favor 2 Favor 3 Neither favor nor oppose 4 Oppose 5 Strongly oppose 8 DON'T KNOW 9 No answer	3702
POLNUKE	Label: How well elected official know risk by nuclear power Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3703
BIZNUKE	Label: How well business leader know risk by nuclear power Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DONT KNOW 9 NO ANSWER	3704
ENGNUKE	Label: Nuclear engineers understand nuclear power Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very well 5 Not at all 8 DON'T KNOW 9 No answer	3705
ENGAGRNK	Label: Engineers agree nuclear power Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Near complete agreement 5 No agreement at all 8 DON'T KNOW 9 No answer	3706
ENHINFNK	Label: Nuclear engineers how much influence Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DON'T KNOW 9 No answer	3707
POLINFNK	Label: Elected officials how much influence Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DON'T KNOW 9 No answer	3708
BIZINFNK	Label: Business leaders how much influence Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal of influence 2 A fair amount 3 A little influence 4 None at all 8 DON'T KNOW 9 No answer	3709
ENGBSTNK	Label: Nuclear engineers best for country Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DON'T KNOW 9 No answer	3710
POLBSTNK	Label: Elected officials best for country Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DON'T KNOW 9 No answer	3711
BIZBSTNK	Label: Business leaders best for country Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 What is best for the country 5 Own narrow interests 8 DON'T KNOW 9 No answer	3712
NUKEELEC	Label: View about nuclear energy Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly favor 2 Favor 3 Oppose 4 Strongly oppose 8 DON'T KNOW 9 No answer	3713
CLONING	Label: Cloning makes identical copy Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 DON'T KNOW 9 No answer	3714
SCINEWS1	Label: Newspaper printed or online Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Printed newspapers 2 Online newspapers 3 OTHER SPECIFY 8 DON'T KNOW 9 No answer	3715
SCINEWS2	Label: Magazine printed or online Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Printed magazines 2 Online magazines 3 OTHER SPECIFY 8 DON'T KNOW 9 No answer	3716
SCINEWS3	Label: Where online get info Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Online newspapers 2 Online magazines 3 Science site 4 News site 5 Electronic books & reports 6 Wikipedia 7 Government site 8 Social media (Facebook, Twitter, YouTube) 10 Other 11 Search engine (Google, Bing) 98 DON'T KNOW 99 No answer	3717
NEWSFRMY	Label: Where news events info Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Print newspapers 2 Online newspapers 3 Print magazines 4 Online magazines 5 Other places on the Internet 6 Books/Other printed material 7 TV 8 Radio 9 Family 10 Friends/Colleagues 11 Other 98 DON’T KNOW 99 No answer	3718
SCIFROMY	Label: Where get science and technology info Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Print newspapers 2 Online newspapers 3 Print magazines 4 Online magazines 5 Other places on the Internet 6 Books/Other printed material 7 TV 8 Radio 9 Family 10 Friends/Colleagues 11 Other 98 DON’T KNOW 99 No answer	3719
SEEKSCIY	Label: Where get science issue news Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Print newspapers 2 Online newspapers 3 Print magazines 4 Online magazines 5 Other places on the Internet 6 Books/Other printed material 7 TV 8 Radio 9 Family 10 Friends/Colleagues 11 Other 98 DON’T KNOW 99 No answer	3720
SCIINFGO	Label: Where online get info Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Search engine (Google, Yahoo, Bing, etc) 2 Wikipedia 3 Science site 4 News site 5 Other specific site 8 DK 9 NA	3721
SCIENTDA	Label: Happy if daughter scientist Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Happy 2 Not care 3 Unhappy 8 DON'T KNOW 9 No answer	3722
SCIENTSN	Label: Happy if son scientist Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Happy 2 Not care 3 Unhappy 8 DON'T KNOW 9 No answer	3723
SCIENTR	Label: Consider career in science Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DON'T KNOW 9 No answer	3724
SCIENTDO	Label: Know what scientists do Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Excellent 2 Good 3 Fair 4 Poor 5 Very Poor 8 DON'T KNOW 9 No answer	3725
SCIENTAL	Label: Scientists usually work alone Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3726
SCIENTDN	Label: Scientific work dangerous Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3727
SCIENTGO	Label: Scientists work for good of humanity Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3728
SCIENTFU	Label: Scientists don? have fun Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3729
SCIENTHE	Label: Scientists help solve prob Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3730
SCIENTOD	Label: Scientists odd and peculiar Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3731
SCIENTBE	Label: Scientists want to make life better for avg person Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3732
SCIENTRE	Label: Scientists not religious Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3733
SCIENTWK	Label: Scientists only interested in work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3734
SCIENTMO	Label: Scientists earn less Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3735
SCIENTBR	Label: Being a scientist boring Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3736
ENGDA	Label: Happy if daughter engineer Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Happy 2 Not care 3 Unhappy 8 DON'T KNOW 9 No answer	3737
ENGSON	Label: Happy if son engineer Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Happy 2 Not care 3 Unhappy 8 DON'T KNOW 9 No answer	3738
ENGRESP	Label: Consider work in engineer field Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DON'T KNOW 9 No answer	3739
ENGDO	Label: Know what engineers do Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Excellent 2 Good 3 Fair 4 Poor 5 Very Poor 8 DON'T KNOW 9 No answer	3740
ENGLONE	Label: Engineers usually work alone Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3741
ENGDGR	Label: Engineering work dangerous Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3742
ENGGOOD	Label: Engineers work for good of humanity Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3743
ENGFUN	Label: Engineers don? have fun Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3744
ENGPROB	Label: Engineers help solve prob Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3745
ENGODD	Label: Engineers odd and peculiar Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3746
ENGBTR	Label: Engineers want to make life better for avg person Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3747
ENGREL	Label: Engineers not religious Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3748
ENGINT	Label: Engineers only interested in work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3749
ENGEARN	Label: Engineers earn less Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3750
ENGBRNG	Label: Being engineer boring Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DON’T KNOW 9 No answer	3751
FARMING	Label: How scientific is farming Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVEN'T HEARD OF IT (VOLUNTEERED) 8 DON'T KNOW 9 No answer	3752
JOURNLSM	Label: How scientific is journalism Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVEN'T HEARD OF IT (VOLUNTEERED) 8 DON'T KNOW 9 No answer	3753
FIREFTNG	Label: How scientific is firefighting Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVEN'T HEARD OF IT (VOLUNTEERED) 8 DON'T KNOW 9 No answer	3754
MARRCOUN	Label: How scientific is marriage counseling Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVEN'T HEARD OF IT (VOLUNTEERED) 8 DON'T KNOW 9 No answer	3755
MEDTREAT	Label: How scientific is medical treatment Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVEN'T HEARD OF IT (VOLUNTEERED) 8 DON'T KNOW 9 No answer	3756
ARCHITCT	Label: How scientific is architecture Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVEN'T HEARD OF IT (VOLUNTEERED) 8 DON'T KNOW 9 No answer	3757
LAWENFRC	Label: How scientific is law enforcement Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVEN'T HEARD OF IT (VOLUNTEERED) 8 DON'T KNOW 9 No answer	3758
ENGNRING	Label: How scientific is engineering Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVEN'T HEARD OF IT (VOLUNTEERED) 8 DON'T KNOW 9 No answer	3759
SLSMNSHP	Label: How scientific is salesmanship Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVEN'T HEARD OF IT (VOLUNTEERED) 8 DON'T KNOW 9 No answer	3760
CMPRGMNG	Label: How scientific is computer programming Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVEN'T HEARD OF IT (VOLUNTEERED) 8 DON'T KNOW 9 No answer	3761
FINLCOUN	Label: How scientific is financial counseling Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very scientific 2 Pretty scientific 3 Not too scientific 4 Not scientific at all 5 HAVEN'T HEARD OF IT (VOLUNTEERED) 8 DON'T KNOW 9 No answer	3762
BUYVALUE	Label: Percent of company stock R bought from own money Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DONT KNOW 999 NO ANSWER	3763
OPS2005	Label: Company granted R stock options in 2005 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3764
EXTR2005	Label: Received performance based payment in 2005 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3765
COMPWAGE	Label: Annual wages in previous year were higher than same jobs in other companies Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Lower 5 5 Higher 8 DONT KNOW 9 NO ANSWER	3766
TALKTEAM	Label: If employee not working: talk directly to the employee Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not at all likely 2 Not very likely 3 Somewhat likely 4 Very likely 8 DONT KNOW 9 NO ANSWER	3767
NUMORG	Label: Number of people working in organization at all locations Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9981 1-9 in range 9982 10-49 in range 9983 50-99 in range 9984 100-499 in range 9985 500-999 in range 9986 1000-1999 in range 9987 2000-2999 in range 9988 3000-3999 in range 9989 4000-4999 in range 9990 5000-10000 in range 9991 10000-50000 in range 9992 50000-100000 in range 9993 Above 100000 in range 9997 10000 or more in value 9998 DONT KNOW 9999 NO ANSWER	3768
EMPINPUT	Label: R involved in any task force for decision-making Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3769
SLFMANGD	Label: R involved in a self-managed team Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3770
EMPTRAIN	Label: Received formal training from employer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3771
WEALTH	Label: Total wealth of respondent Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Less than $5,000 2 $5,000 to $20,000 3 $20,000 to $40,000 4 $40,000 to $75,000 5 $75,000 to $100,000 6 $100,000 to $150,000 7 $150,000 to $250,000 8 $250,000 to $500,000 9 $500,000 to $1 million 10 $1 million to $2 million 11 $2 million to $3 million 12 $3 million to $4 million 13 $4 million to $5 million 14 $5 million to $10 million 15 Above $10 million 98 DONT KNOW 99 NO ANSWER	3772
ESOP	Label: R is member of esop Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 Don't know 9 No answer	3773
DEFPENSN	Label: R has defined benefit pension plan Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 Don't know 9 No answer	3774
TRDESTCK	Label: Company stock publicly traded Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 Don't know 9 No answer	3775
VIGLAB06	Label: X is experiencing alchl dependencedepression schizophrenia Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	3776
MHTRTOTH	Label: R Personally has known someone who received treatment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3777
MHOTHYOU	Label: How much distress his mental health problem caused r Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal 2 Quite a bit 3 A little 4 Not at all 8 DONT KNOW 9 NO ANSWER	3778
MHOTHREL	Label: Result of mental health problem to relationship with him Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Became stronger 2 Became worse 3 Was unchanged 4 Ended as a result of the problem 8 DONT KNOW 9 NO ANSWER	3779
SEEMHPUB	Label: How frequently R sees someone mentally ill in public Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Almost never 4 Never 8 DONT KNOW 9 NO ANSWER	3780
GESTTALK	Label: How often R see people making strange gesture in public Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Almost never 4 Never 8 DONT KNOW 9 NO ANSWER	3781
AVOIDMH	Label: R changed shopping place due to presence of mentally ill ppl Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Often 2 Sometimes 3 Almost never 4 Never 8 DONT KNOW 9 NO ANSWER	3782
NUMKNOWN	Label: Variable that drives skips in module Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SUBSET1 2 SUBSET2 3 SUBSET3 4 SUBSET4 5 SUBSET5 8 Dont Know 9 No Answer	3783
ACQKEVIN	Label: Number of Kevin R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3784
ACQKAREN	Label: Number of Karen R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3785
ACQSHAWN	Label: Number of Shawn R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3786
ACQBRNDA	Label: Number of Brenda R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3787
ACQKEITH	Label: Number of Keith R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3788
ACQRACHL	Label: Number of Rachel R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3789
ACQMARK	Label: Number of Mark R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3790
ACQLINDA	Label: Number of Linda R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3791
ACQJOSE	Label: Number of Jose R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3792
ACQMARIA	Label: Number of Maria R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3793
ACQUNEMP	Label: Number of ppl currently unemployed R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3794
ACQHOME	Label: Number of ppl owning second home R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3795
ACQPRISN	Label: Number of ppl in prison R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3796
ACQAsian	Label: Number of Asian R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3797
ACQBLACK	Label: Number of black R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3798
ACQHISP	Label: Number of Hispanic R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3799
ACQWHITE	Label: Number of white R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3800
ACQGAY	Label: Number of gay R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3801
ACQCOHAB	Label: Number of cohabiting pplR is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3802
ACQGOATT	Label: Number of regular church attendee R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3803
ACQNOATT	Label: Number of non church attendee R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3804
ACQLIB	Label: Number of strong liberal R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3805
ACQCON	Label: Number of strong conservative R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3806
ACQCOPS	Label: Number of police officer R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3807
ACQLAWS	Label: Number of lawyer R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3808
ACQSOCS	Label: Number of social worker R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3809
ACQJANS	Label: Number of janitor R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3810
ACQCHILD	Label: Number of child care worker R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3811
ACQELECS	Label: Number of electrician R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3812
ACQMILS	Label: Number of ppl in military service R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3813
ACQFMMRK	Label: Number of family member named Mark Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3814
ACQFMLIN	Label: Number of family member named Linda Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3815
ACQFMUNE	Label: Number of unemployed family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3816
ACQFMHME	Label: Number of family member owning second home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3817
ACQFMPRI	Label: Number of family member in prison Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3818
ACQFMASN	Label: Number of Asian family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3819
ACQFMBLK	Label: Number of black family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3820
ACQFMHSP	Label: Number of Hispanic family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3821
ACQFMWHT	Label: Number of white family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3822
ACQFMGAY	Label: Number of gay family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3823
ACQFMGO	Label: Number of family member going church regularly Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3824
ACQFMNO	Label: Number of family member not going church Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3825
ACQFMLIB	Label: Number of liberal in family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3826
ACQFMCON	Label: Number of conservative in family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3827
ACQFMCOH	Label: Number of cohabiting family member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3828
ACQNHMRK	Label: Number of Mark in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3829
ACQNHLIN	Label: Number of Linda in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3830
ACQNHUNE	Label: Number of ppl unemployed in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3831
ACQNHHME	Label: Number of ppl owning second home in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3832
ACQNHPRI	Label: Number of ppl in prison in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3833
ACQNHASN	Label: Number of Asian in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3834
ACQNHBLK	Label: Number of black in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3835
ACQNHHSP	Label: Number of Hispanic in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3836
ACQNHWHT	Label: Number of white in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3837
ACQNHGAY	Label: Number of gay in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3838
ACQNHGO	Label: Number of regular church attendee in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3839
ACQNHNO	Label: Number of non church attendee in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3840
ACQNHLIB	Label: Number of liberal in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3841
ACQNHCON	Label: Number of conservative in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3842
ACQNHCOH	Label: Number of cohabiting ppl in neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3843
ACQWKMRK	Label: Number of Mark in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3844
ACQWKLIN	Label: Number of Linda in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3845
ACQWKUNE	Label: Number of ppl unemployed in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3846
ACQWKHME	Label: Number of ppl owning second home in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3847
ACQWKPRI	Label: Number of ppl in prison in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3848
ACQWKASN	Label: Number of Asian in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3849
ACQWKBLK	Label: Number of black in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3850
ACQWKHSP	Label: Number of Hispanic in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3851
ACQWKWHT	Label: Number of white in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3852
ACQWKGAY	Label: Number of gay in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3853
ACQWKGO	Label: Number of regular church attendee in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3854
ACQWKNO	Label: Number of non church attendee in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3855
ACQWKLIB	Label: Number of strong liberal in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3856
ACQWKCON	Label: Number of strong conservative in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3857
ACQWKCOH	Label: Number of cohabiting ppl in current or previous work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 6 THRU 9; 0 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 6 I DONT HAVE A JOB 8 DONT KNOW 9 NO ANSWER	3858
ACQVAMRK	Label: Number of Mark in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3859
ACQVALIN	Label: Number of Linda in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3860
ACQVAUNE	Label: Number of unemployed ppl in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3861
ACQVAHME	Label: Number of ppl owning second home in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3862
ACQVAPRI	Label: Number of ppl in prison in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3863
ACQVAASN	Label: Number of Asian in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3864
ACQVABLK	Label: Number of black in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3865
ACQVAHSP	Label: Number of Hispanic in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3866
ACQVAWHT	Label: Number of white in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3867
ACQVAGAY	Label: Number of gay in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3868
ACQVAGO	Label: Number of regular church attendee in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3869
ACQVANO	Label: Number of non church attendee in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3870
ACQVALIB	Label: Number of liberal in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3871
ACQVACON	Label: Number of conservative in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3872
ACQVACOH	Label: Number of cohabiting ppl in voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3873
ACQREPS	Label: Number of republican R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost all 2 Most 3 About half 4 A few 5 None 8 DONT KNOW 9 NO ANSWER	3874
ACQDEMS	Label: Number of democrat R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost all 2 Most 3 About half 4 A few 5 None 8 DONT KNOW 9 NO ANSWER	3875
ACQATTND	Label: Number of regular church attendee R is acquainted with Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost all 2 Most 3 About half 4 A few 5 None 8 DONT KNOW 9 NO ANSWER	3876
ACQMYRAC	Label: Proportion of same race as R among all acquaintances Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost all the same race as you 2 Mostly the same race as you 3 About evenly divided 4 Mostly a different race than you 5 Almost all a different race than you 8 DONT KNOW 9 NO ANSWER	3877
TRTKEVIN	Label: Number of Kevin R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3878
TRTKAREN	Label: Number of Karen R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3879
TRTSHAWN	Label: Number of Shawn R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3880
TRTBRNDA	Label: Number ofBrenda R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3881
TRTKEITH	Label: Number ofKeith R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3882
TRTRACHL	Label: Number ofRachel R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3883
TRTMARK	Label: Number ofMark R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3884
TRTLINDA	Label: Number ofLinda R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3885
TRTJOSE	Label: Number ofJose R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3886
TRTMARIA	Label: Number ofMaria R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3887
TRTCOPS	Label: Number of police officer R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3888
TRTLAWS	Label: Number of lawyer R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3889
TRTSOCS	Label: Number of social worker R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3890
TRTJANS	Label: Number of janitor R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3891
TRTCHILD	Label: Number of child care worker R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3892
TRTELECS	Label: Number of electrician R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3893
TRTMILS	Label: Number of ppl in military service R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3894
TRTUNEMP	Label: Number of ppl unemployed R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3895
TRTHOME	Label: Number of ppl owning second homeR trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3896
TRTPRISN	Label: Number of ppl in prisonR trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3897
TRTAsian	Label: Number of Asian R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3898
TRTBLACK	Label: Number of black R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3899
TRTHISP	Label: Number of Hispanic R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3900
TRTWHITE	Label: Number of white R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3901
TRTGAY	Label: Number of gay R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3902
TRTCOHAB	Label: Number of cohabiting ppl R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3903
TRTGOATT	Label: Number of church attendeeR trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3904
TRTNOATT	Label: Number of non church attendeeR trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3905
TRTLIB	Label: Number of strong liberalR trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3906
TRTCON	Label: Number of strong conservativeR trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0 2 1 3 2-5 4 6-10 5 More than 10 8 DONT KNOW 9 NO ANSWER	3907
TRTREPS	Label: Proportion of republican R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost all 2 Most 3 About half 4 A few 5 None 8 DONT KNOW 9 NO ANSWER	3908
TRTDEMS	Label: Proportion of democrat R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost all 2 Most 3 About half 4 A few 5 None 8 DONT KNOW 9 NO ANSWER	3909
TRTATTND	Label: Proportion of regular church attendee R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost all 2 Most 3 About half 4 A few 5 None 8 DONT KNOW 9 NO ANSWER	3910
TRTMYRAC	Label: Proportion of same race as R among ppl R trust Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost all the same race as you 2 Mostly the same race as you 3 About evenly divided 4 Mostly a different race than you 5 Almost all a different race than you 8 DONT KNOW 9 NO ANSWER	3911
GUNSALES	Label: Should background check be required for private gun sale Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly favor 2 Favor 3 Neither favor nor oppose 4 Oppose 5 Strongly oppose 8 DONT KNOW 9 NO ANSWER	3912
GUNSDRUG	Label: Should penalty for illegal gun sale be tougher than drug Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Tougher 2 Less tough 3 About as tough 8 DONT KNOW 9 NO ANSWER	3913
SEMIGUNS	Label: Should semi-auto gun sale be limited to military Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Sold to the general public 2 Sales be limited to the military and police 8 DONT KNOW 9 NO ANSWER	3914
GUNS911	Label: Should gun control law be stricter after 911 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Should be stricter 2 Should be less strict 8 DONT KNOW 9 NO ANSWER	3915
RIFLES50	Label: Should high power rifle sale be limited to military Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Restricted to the police and military 2 Available to civilians like other hunting rifles 8 DONT KNOW 9 NO ANSWER	3916
OTHGUNS	Label: Number of adult owing a gun in household Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 person 2 2 persons 3 3 persons 8 DONT KNOW 9 NO ANSWER	3917
GUNSDRNK	Label: Should carrying a firearm drinking alcohol be illegal Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Favor 2 Oppose 8 DONT KNOW 9 NO ANSWER	3918
SPNATDIS	Label: Should govt spend more or less on natural disasters Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Spend much more 2 Spend more 3 Spend the same as now 4 Spend less 5 Spend much less 8 DONT KNOW 9 NO ANSWER	3919
NATDISIN	Label: Should helping ppl in natural disaster be govt resp Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Should 2 Should not be 8 DONT KNOW 9 NO ANSWER	3920
NATDISCM	Label: Should rebuilding community in disaster be govt resp Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Should 2 Should not be 8 DONT KNOW 9 NO ANSWER	3921
NEWSPRNT	Label: How often Does R read traditional newspaper Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Every day 2 A few times a week 3 Once a week 4 Less than once a week 5 Never 8 DONT KNOW 9 NO ANSWER	3922
GETAHEAY	Label: Opinion of why people get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Hard work most important 2 HARD WORK, LUCK EQUALLY IMPORTANT 3 Luck or help from other people most important 8 DONT KNOW 9 NO ANSWER	3923
DISABLD1	Label: R has a hearing problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3924
DISABLD2	Label: R has a vision problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3925
DISABLD3	Label: R has a physical disability Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3926
DISABLD4	Label: R has other physical disability Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3927
DISABLD5	Label: R has emotional or mental disability Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3928
DISABLD6	Label: R has difficulty in learning remembering or concentrating Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3929
DISABLD7	Label: R has difficulty in daily activities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3930
VIGVERMY	Label: Vignette version Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Vignette 1 2 Vignette 2 3 Vignette 3 4 Vignette 4 5 Vignette 5 6 Vignette 6 7 Vignette 7 8 Vignette 8 9 Vignette 9 10 Vignette 10 11 Vignette 11 12 Vignette 12 98 DONT KNOW 99 NO ANSWER	3931
MHPROBLM	Label: How serious X s situation is Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very serious 2 Moderately serious 3 Not very serious 4 Not at all seriou 8 DONT KNOW 9 NO ANSWER	3932
MHDOFAM	Label: What X should do: talk to family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3933
MHDOFRND	Label: What X should do: talk to friends Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3934
MHDOREL	Label: What X should do: talk to relic leader Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3935
MHDODOC	Label: What X should do: go to doctor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3936
MHDOPSYC	Label: What X should do: go to psychiatrist Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3937
MHDOMHP	Label: What X should do: go to counselor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3938
MHDOHEAL	Label: What X should do: go to spiritual healer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3939
MHDOOTC	Label: What X should do: take non-prescription medication Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3940
MHDORX	Label: What X should do: take prescription medication Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3941
MHDOHOSP	Label: What X should do: check into a hospital Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3942
MHDOPRAY	Label: What X should do: pray Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3943
MHDOLIFE	Label: What X should do: change lifestyle Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3944
MHDOHERB	Label: What X should do: take herbs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3945
MHDOFRGT	Label: What X should do: try to forget Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3946
MHDOACTV	Label: What X should do: get involved in other activities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3947
MHDOGRP	Label: What X should do: get involved in a group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3948
MHDODIET	Label: What X should do: eat better Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3949
MHDOEXRC	Label: What X should do: start exercising Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3950
MHDOMOVE	Label: What X should do: move to another location Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3951
MHDOOTH	Label: What X should do: other mentions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3952
MHDONONE	Label: What X should do: nothing Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	3953
MHCHRCTR	Label: X s situation caused by: bad character Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	3954
MHBRAIN	Label: X s situation caused by: brain disease Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	3955
MHRAISED	Label: X s situation caused by: the way raised Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	3956
MHSTRESS	Label: X s situation caused by: stress Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	3957
MHGENES	Label: X s situation caused by: genetic problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	3958
MHGOD	Label: X s situation caused by: god s will Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	3959
MHLUCK	Label: X s situation caused by: bad luck Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	3960
MHUPDOWN	Label: X is experiencing normal ups-and-downs of life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	3961
MHILLNSS	Label: X is experiencing mental illness Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	3962
MHPHYSCL	Label: X is experiencing physical illness Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	3963
MHNEIHBR	Label: R would have X as a neighbor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely willing 2 Probably willing 3 Probably unwilling 4 Definitely unwilling 8 DONT KNOW 9 NO ANSWER	3964
MHSOCIAL	Label: R would spend time socializing with X Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely willing 2 Probably willing 3 Probably unwilling 4 Definitely unwilling 8 DONT KNOW 9 NO ANSWER	3965
MHKDCARE	Label: R would have X care for your children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely willing 2 Probably willing 3 Probably unwilling 4 Definitely unwilling 8 DONT KNOW 9 NO ANSWER	3966
MHFRIEND	Label: R would make friends with X Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely willing 2 Probably willing 3 Probably unwilling 4 Definitely unwilling 8 DONT KNOW 9 NO ANSWER	3967
MHWKWITH	Label: R would work closely with X on a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely willing 2 Probably willing 3 Probably unwilling 4 Definitely unwilling 8 DONT KNOW 9 NO ANSWER	3968
MHWEDREL	Label: R would have X marry someone related to you Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely willing 2 Probably willing 3 Probably unwilling 4 Definitely unwilling 8 DONT KNOW 9 NO ANSWER	3969
MHIMPOWN	Label: How likely X s situation will improve on its own Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	3970
MHIMPTRT	Label: How likely X s situation will improve with treatment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	3971
MHDECSLF	Label: How able is X to decide whether to receive treatment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very able 2 Moderately able 3 Not very able 4 Not at all able 8 DONT KNOW 9 NO ANSWER	3972
MHMONEY	Label: How able is X to decide on managing own money Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very able 2 Moderately able 3 Not very able 4 Not at all able 8 DONT KNOW 9 NO ANSWER	3973
MHOUTSDR	Label: Getting treatment would make X outsider in community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3974
MHLOSEFR	Label: X would lose friends if people know his her treatment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3975
MHLESSOP	Label: X s opportunities limited if people know his her treatment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3976
MHUNEASY	Label: Being around X would make me feel uncomfortable Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3977
MHUNSURE	Label: People like X are unpredictable Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3978
MHINTL	Label: People like X are just as intelligent as anyone else Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3979
MHNOTPOL	Label: People like X shouldn't be allowed to hold public office Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3980
MHHRDTLK	Label: People like X are hard to talk to Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3981
MHNOKIDS	Label: People like X shouldn't be allowed to have children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3982
MHCREATV	Label: People like X are more creative than others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3983
MHNERVS	Label: Being around X would make me feel nervous Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3984
MHPRDCTV	Label: People like X are just as productive as others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3985
MHFEELEM	Label: X should feel embarrassed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3986
MHTRUSTY	Label: People like X are just as trustworthy as anyone else Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3987
MHACCPTD	Label: Person like X has no hope of being accepted as member Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3988
MHHIRED	Label: X should be hired like others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3989
MHNOTELL	Label: X should feel afraid to tell about his situation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3990
MHSECRET	Label: X s family better off if kept secret Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3991
MHSUPWRK	Label: People like X shouldn't be allowed to supervise others at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3992
MHNOTCH	Label: People like X shouldn't be allowed to teach children. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree, or 4 Strongly disagree? 8 DONT KNOW 9 NO ANSWER	3993
MHHLPFAM	Label: How important: turn to family for help Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Not at all Important 10 Very Important 98 DONT KNOW 99 NO ANSWER	3994
MHHLPFRD	Label: How important: turn to friends for help Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Not at all Important 10 Very Important 98 DONT KNOW 99 NO ANSWER	3995
MHHLPREL	Label: How important: turn to religious leader Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Not at all Important 10 Very Important 98 DONT KNOW 99 NO ANSWER	3996
MHHLPGP	Label: How important: go to medical doctor for help Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Not at all Important 10 Very Important 98 DONT KNOW 99 NO ANSWER	3997
MHHLPPSY	Label: How important: go to psychiatrist for help Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Not at all Important 10 Very Important 98 DONT KNOW 99 NO ANSWER	3998
MHHLPMHP	Label: How important: go to mental health professional Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Not at all Important 10 Very Important 98 DONT KNOW 99 NO ANSWER	3999
MHGVTJOB	Label: Govt responsibility: provide job for x Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should 2 Probably should 3 Probably shouldnt be 4 Definitely shouldnt be 8 DONT KNOW 9 NO ANSWER	4000
MHGVTHLT	Label: Govt responsibility: provide health care for x Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should 2 Probably should 3 Probably shouldnt be 4 Definitely shouldnt be 8 DONT KNOW 9 NO ANSWER	4001
MHGVTHME	Label: Govt responsibility: provide housing for x Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should 2 Probably should 3 Probably shouldnt be 4 Definitely shouldnt be 8 DONT KNOW 9 NO ANSWER	4002
MHGVTEDC	Label: Govt responsibility: provide financial help for education Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should 2 Probably should 3 Probably shouldnt be 4 Definitely shouldnt be 8 DONT KNOW 9 NO ANSWER	4003
MHGVTDIS	Label: Govt responsibility: provide disability benefits for x Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should 2 Probably should 3 Probably shouldnt be 4 Definitely shouldnt be 8 DONT KNOW 9 NO ANSWER	4004
MHSLFSHM	Label: X should be ashamed to receive govt assistance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should 2 Probably should 3 Probably shouldnt be 4 Definitely shouldnt be 8 DONT KNOW 9 NO ANSWER	4005
MHFAMSHM	Label: X family should be ashamed to receive govt assistance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should 2 Probably should 3 Probably shouldnt be 4 Definitely shouldnt be 8 DONT KNOW 9 NO ANSWER	4006
MHSEEDOC	Label: X should be forced to be examined at a clinic by law Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should 2 Probably should 3 Probably shouldnt be 4 Definitely shouldnt be 8 DONT KNOW 9 NO ANSWER	4007
MHMEDS	Label: X should be forced to take prescribed medication by law Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should 2 Probably should 3 Probably shouldnt be 4 Definitely shouldnt be 8 DONT KNOW 9 NO ANSWER	4008
MHHSPTRT	Label: X should be forced to be hospitalized for treatment by law Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should 2 Probably should 3 Probably shouldnt be 4 Definitely shouldnt be 8 DONT KNOW 9 NO ANSWER	4009
MHMNTHSP	Label: X should be forced to go to mental hospital by law Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should 2 Probably should 3 Probably shouldnt be 4 Definitely shouldnt be 8 DONT KNOW 9 NO ANSWER	4010
MHVIOOTH	Label: How likely X violent toward other people Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	4011
MHVIOSLF	Label: How likely X violent toward him herself Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	4012
MHCAUSE	Label: What caused X s situation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Depression 2 Asthma 3 Schizophrenia 4 Stress 5 Something else 8 DONT KNOW 9 NO ANSWER	4013
MHTRTOT2	Label: R knows someone who received treatment for mental health Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	4014
MHCLSOTH	Label: Closeness to person with mental health problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Extremely close 2 Very close 3 Not very close 4 Not at all close 8 DONT KNOW 9 NO ANSWER	4015
MHSEROTH	Label: How serious his her mental health problem was Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very serious 2 Somewhat serious 3 Not very serious 4 Not at all serious 8 DONT KNOW 9 NO ANSWER	4016
MHHLPOTH	Label: How the treatment helped him/her with mental health problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal 2 Quite a bit 3 A little 4 Not at all 8 DONT KNOW 9 NO ANSWER	4017
MHRESOTH	Label: How much responsibility R had for this person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal 2 Quite a bit 3 A little 4 Not at all 8 DONT KNOW 9 NO ANSWER	4018
MHDISOTH	Label: How much distress this person caused R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A great deal 2 Quite a bit 3 A little 4 Not at all 8 DONT KNOW 9 NO ANSWER	4019
MHRELOTH	Label: Relationship with this person as a result of mental health problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Became stronger 2 Became worse 3 Was unchanged 4 Ended as a result of the problem 8 DONT KNOW 9 NO ANSWER	4020
MHEXPOTH	Label: Effect of experiences with this person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Made you a better person 2 Made you a worse person, or 3 Had no effect on you as a person 8 DONT KNOW 9 NO ANSWER	4021
MHTRTSLF	Label: R have ever personally received treatment for mental health problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NO ANSWER	4022
MHSEEPUB	Label: How often R sees someone with mental health problem in public places Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Frequently 2 Occasionally 3 Rarely 4 Never 8 DONT KNOW 9 NO ANSWER	4023
MHFRIGHT	Label: How frightening most people are in public places Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very frightening 2 Somewhat frightening 3 Not very frightening 4 Not at all frightening 8 DONT KNOW 9 NO ANSWER	4024
MHSYMP	Label: How much R feels sympathy for ppl with mental hlth problem in public places Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 No sympathy at all 2 A little sympathy 3 Quite a bit of sympathy 4 A great deal of sympathy 8 DONT KNOW 9 NO ANSWER	4025
STARTBIZ	Label: R trying to start business Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4026
OWNBIZ	Label: R owns business Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4027
NUMOWN	Label: Number of businesses you own and manage Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 7 7 or more 8 DONT KNOW 9 NA	4028
YEARBIZ	Label: Year business started Format: F5.0 Measure: Scale Display Width: 9 Missing Values: 0; 9999 Value Label 0 IAP 9999 NA	4029
PAIDEMPS	Label: R has paid employees Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4030
BIZGROSS	Label: Business revenue last year Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 < $15,000 2 $15,001-$25,000 3 $25,001-$30,000 4 $30,001-$35,000 5 $35,001-$50,000 6 $50,001-$60,000 7 $60,001-$75,000 8 $75,001-$100,000 9 > $100,000 98 DONT KNOW 99 NA	4031
BIZSHARE	Label: Percentage ownership R holds Format: F4.0 Measure: Nominal Display Width: 10 Missing Values: -1; 998; 999 Value Label -1 IAP 998 DONT KNOW 999 NA	4032
OWNINC	Label: Amt of household income coming from this business Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 < $15,000 2 $15,001-$25,000 3 $25,001-$30,000 4 $30,001-$35,000 5 $35,001-$50,000 6 $50,001-$60,000 7 $60,001-$75,000 8 $75,001-$100,000 9 > $100,000 98 DONT KNOW 99 NA	4033
WHYBIZ	Label: Why did R start business Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 You started it because you came across an opportunity 2 You started it because it was a necessity 3 BOTH (VOLUNTEERED) 8 DONT KNOW 9 NA	4034
NUMEMPS5	Label: How many people R employs 5 yrs after Format: F4.0 Measure: Nominal Display Width: 10 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DONT KNOW 999 NA	4035
SPJREL16	Label: Religion in which spouse raised Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Protestant 2 Catholic 3 Jewish 4 None 5 OTHER 6 Buddhism 7 Hinduism 8 Other Eastern 9 Muslim/Islam 10 Orthodox-Christian 11 Christian 12 Native American 13 Inter-/non-denominational 98 DONT KNOW 99 NA	4036
SPJOTH16	Label: R's spouse raised Jewish Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Yes 2 Half/part 3 No 8 DONT KNOW 9 NA	4037
MAJWOTH	Label: R's mom was Jewish when R was growing up Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 Half/part 3 No 8 DONT KNOW 9 NA	4038
PAJWOTH	Label: R's dad was Jewish when R was growing up Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 Half/part 3 No 8 DONT KNOW 9 NA	4039
BMITZVAH	Label: R had bar or bat mitzvah when R was a child Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4040
SYNMEM	Label: R belongs to a synagogue, temple, minyan, or high holiday congregation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4041
KD1RELIG	Label: Religion of R's child 1 Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Protestant 2 Catholic 3 Jewish 4 None 5 OTHER 6 Buddhism 7 Hinduism 8 Other Eastern 9 Muslim/Islam 10 Orthodox-Christian 11 Christian 12 Native American 13 Inter-/non-denominational 98 DONT KNOW 99 NA	4042
KD2RELIG	Label: Religion of R's child 2 Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Protestant 2 Catholic 3 Jewish 4 None 5 OTHER 6 Buddhism 7 Hinduism 8 Other Eastern 9 Muslim/Islam 10 Orthodox-Christian 11 Christian 12 Native American 13 Inter-/non-denominational 98 DONT KNOW 99 NA	4043
KD3RELIG	Label: Religion of R's child 3 Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Protestant 2 Catholic 3 Jewish 4 None 5 OTHER 6 Buddhism 7 Hinduism 8 Other Eastern 9 Muslim/Islam 10 Orthodox-Christian 11 Christian 12 Native American 13 Inter-/non-denominational 98 DONT KNOW 99 NA	4044
KD4RELIG	Label: Religion of R's child 4 Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Protestant 2 Catholic 3 Jewish 4 None 5 OTHER 6 Buddhism 7 Hinduism 8 Other Eastern 9 Muslim/Islam 10 Orthodox-Christian 11 Christian 12 Native American 13 Inter-/non-denominational 98 DONT KNOW 99 NA	4045
KD5RELIG	Label: Religion of R's child 5 Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Protestant 2 Catholic 3 Jewish 4 None 5 OTHER 6 Buddhism 7 Hinduism 8 Other Eastern 9 Muslim/Islam 10 Orthodox-Christian 11 Christian 12 Native American 13 Inter-/non-denominational 98 DONT KNOW 99 NA	4046
KD6RELIG	Label: Religion of R's child 6 Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Protestant 2 Catholic 3 Jewish 4 None 5 OTHER 6 Buddhism 7 Hinduism 8 Other Eastern 9 Muslim/Islam 10 Orthodox-Christian 11 Christian 12 Native American 13 Inter-/non-denominational 98 DONT KNOW 99 NA	4047
KD7RELIG	Label: Religion of R's child 7 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Protestant 2 Catholic 3 Jewish 4 None 5 OTHER 6 Buddhism 7 Hinduism 8 Other Eastern 9 Muslim/Islam 10 Orthodox-Christian 11 Christian 12 Native American 13 Inter-/non-denominational 98 DONT KNOW 99 NA	4048
KD8RELIG	Label: Religion of R's child 8 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Protestant 2 Catholic 3 Jewish 4 None 5 OTHER 6 Buddhism 7 Hinduism 8 Other Eastern 9 Muslim/Islam 10 Orthodox-Christian 11 Christian 12 Native American 13 Inter-/non-denominational 98 DONT KNOW 99 NA	4049
KD1JWOTH	Label: R's child 1 considered Jewish Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 Half/part 3 No 8 DONT KNOW 9 NA	4050
KD2JWOTH	Label: R's child 2 considered Jewish Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 Half/part 3 No 8 DONT KNOW 9 NA	4051
KD3JWOTH	Label: R's child 3 considered Jewish Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 Half/part 3 No 8 DONT KNOW 9 NA	4052
KD4JWOTH	Label: R's child 4 considered Jewish Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 Half/part 3 No 8 DONT KNOW 9 NA	4053
KD5JWOTH	Label: R's child 5 considered Jewish Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 Half/part 3 No 8 DONT KNOW 9 NA	4054
DONE911A	Label: Has R developed emergency plans Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4055
EFF911A	Label: How effective R thinks developing emergency plans Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4056
DONE911B	Label: Has R stockpiled supplies Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4057
EFF911B	Label: How effective R thinks stockpiling supplies Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4058
DONE911C	Label: Has R purchased things to make them safer Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4059
EFF911C	Label: How effective R thinks purchasing things to make them safer Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4060
DONE911D	Label: Has R learned where to get more info about terrorism Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4061
EFF911D	Label: How effective R thinks learning where to get info about terrorism Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4062
DONE911E	Label: Has R duplicated important documents Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4063
EFF911E	Label: How effective R thinks duplicating important documents Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4064
DONE911F	Label: Has R reduced air travel Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4065
EFF911F	Label: How effective R thinks reducing air travel Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4066
DONE911G	Label: Has R reduced travel by train Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4067
EFF911G	Label: How effective R thinks reducing travel by train Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4068
DONE911H	Label: Has R reduced use of public transportation Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4069
EFF911H	Label: How effective R thinks reducing use of public transportation Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4070
DONE911I	Label: Has R changed mail handling procedures Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4071
EFF911I	Label: How effective R thinks changing mail handling procedures Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4072
DONE911J	Label: Has R become vigilant of what is going on around R Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4073
EFF911J	Label: How effective R thinks becoming vigilant Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4074
DONE911K	Label: Has R avoided travel to certain cities Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4075
EFF911K	Label: How effective R thinks avoiding travel to certain cities Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4076
DONE911L	Label: Has R avoided tall buildings Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4077
EFF911L	Label: How effective R thinks avoiding tall buildings Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4078
DONE911M	Label: Has R avoided national landmarks Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4079
EFF911M	Label: How effective R thinks avoiding national landmarks Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4080
DONE911N	Label: Has R done anything else to deal with terrorism Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: -1; 8; 9 Value Label -1 IAP 0 No 1 Yes, respondent 2 Yes, someone respondent knows 3 Yes, both respondent and someone respondent knows 8 DONT KNOW 9 NA	4081
EFF911N	Label: How effective R thinks that is Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 Not at all effective 2 2 3 3 4 4 5 5 Extremely effective 8 DONT KNOW 9 NA	4082
DONEELSE	Label: Specify what it is R has done Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Research and collect more information 2 Join military 3 Avoid possible targets of terror 4 Buy new insurance policy 5 Psycho therapy 6 Pray 7 More vigilant to surrounding 8 Join secret service 9 Buy weapons 10 Vigilance and new assignments because they are already in military or secrete service 11 Terror-related traiing at work 12 Terror-related traiing in community 13 Build safe place 14 Deal with government 15 Talk about it with other people 98 DONT KNOW 99 NA	4083
WORK3YRS	Label: How many full time jobs R has in past 3 yrs since 2005 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ONE 2 NUMBER GREATER THAN 1 3 NONE 8 DONT KNOW 9 NA	4084
CUREMPYR	Label: How many yrs R worked for current employer Format: F2.0 Measure: Scale Display Width: 10 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NA	4085
PAYCHNGE	Label: How much Has R pay changed on R's current job since R began Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 My pay has gone up more than the cost of living 2 My pay has stayed about the same as the cost of living 3 My pay has not kept up with the cost of living 8 DONT KNOW 9 NA	4086
PASTPAY	Label: Was R's starting pay higher/lower/same as earning in previous job Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Higher 2 About the same 3 Lower 4 CURRENT EMPLOYER IS FIRST JOB 8 DONT KNOW 9 NA	4087
WHYLEAVE	Label: Why R left last job Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Left Voluntarily 2 Job was abolished 3 Permanently laid off 8 DONT KNOW 9 NA	4088
WHYJBCT1	Label: Why job abolished or laid off Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 COMPANY'S SALES WERE DECLINING 2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE 3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB 4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES 5 JOB MOVED TO ANOTHER COUNTRY 6 OTHER 7 COMPANY SOLD 8 JOB DONE 9 COMPANY IN FINANCIAL PROBLEM 10 END OF CONTRACT 11 SEASONAL WORK 98 DONT KNOW 99 NA	4089
WHYJBCT2	Label: Why job abolished or laid off Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 COMPANY'S SALES WERE DECLINING 2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE 3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB 4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES 5 JOB MOVED TO ANOTHER COUNTRY 6 OTHER 7 COMPANY SOLD 8 JOB DONE 9 COMPANY IN FINANCIAL PROBLEM 10 END OF CONTRACT 11 SEASONAL WORK 98 DONT KNOW 99 NA	4090
LOSEJB12	Label: How likely R will lose job or laid off in next 1 yr Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Fairly likely 3 Not too likely 4 Not at all likely 8 DONT KNOW 9 NA	4091
WHYLOSE1	Label: Why that much possibility of job abolished or laid off Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 COMPANY'S SALES WERE DECLINING 2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE 3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB 4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES 5 JOB MOVED TO ANOTHER COUNTRY 6 OTHER 7 COMPANY SOLD 8 JOB DONE 9 COMPANY IN FINANCIAL PROBLEM 10 END OF CONTRACT 11 SEASONAL WORK 98 DONT KNOW 99 NA	4092
WHYLOSE2	Label: Why that much possibility of job abolished or laid off Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 COMPANY'S SALES WERE DECLINING 2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE 3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB 4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES 5 JOB MOVED TO ANOTHER COUNTRY 6 OTHER 7 COMPANY SOLD 8 JOB DONE 9 COMPANY IN FINANCIAL PROBLEM 10 END OF CONTRACT 11 SEASONAL WORK 98 DONT KNOW 99 NA	4093
WHYLOSE3	Label: Why that much possibility of job abolished or laid off Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 COMPANY'S SALES WERE DECLINING 2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE 3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB 4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES 5 JOB MOVED TO ANOTHER COUNTRY 6 OTHER 7 COMPANY SOLD 8 JOB DONE 9 COMPANY IN FINANCIAL PROBLEM 10 END OF CONTRACT 11 SEASONAL WORK 98 DONT KNOW 99 NA	4094
FINDNWJB	Label: How likely R to find job with same/better benefit Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very easy 2 Somewhat easy 3 Not at all easy 8 DONT KNOW 9 NA	4095
MORETRDE	Label: More trade, less jobs in usa Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Created more jobs 2 About the same 3 Taken them away 4 NOT RELEVANT FOR MY JOB 8 DONT KNOW 9 NA	4096
NEWJOBS	Label: Jobs created are better than R's current job Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Better 2 About the same 3 Worse 8 DONT KNOW 9 NA	4097
LOSTJOBS	Label: Jobs taken away are better than R's current job Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Better 2 About the same 3 Worse 8 DONT KNOW 9 NA	4098
WKCOMPTR	Label: Use computer at work Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4099
WOCOMPTR	Label: R can do job without computer Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Couldn't do my job without a computer or computerized equipment 2 Could do my job without a computer or computerized equipment but it would be much harder 3 Doing my job without a computer or computerized equipment would be about the same as now 4 Already do most of my job without a computer or computerized equipment 8 DONT KNOW 9 NA	4100
AUTONOJB	Label: R heard of persons in R's firm having jobs replaced by computers Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4101
MEETF2F1	Label: How often meet face to face with customers, clients, patients Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Never 2 Once per year or less, or 3 Several times per year 4 Several times per month 5 Several times per week 6 Daily 8 DONT KNOW 9 NA	4102
MEETF2F2	Label: How often meet face to face with co-workers to work on projects Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Never 2 Once per year or less, or 3 Several times per year 4 Several times per month 5 Several times per week 6 Daily 8 DONT KNOW 9 NA	4103
INTLCOWK	Label: How often exchange info with co-workers located outside usa Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Never 2 Once per year or less 3 Several times per year 4 Several times per month 5 Several times per week 6 Daily 8 DONT KNOW 9 NA	4104
LASTYRWK	Label: Thinking about last full-time job, what yr R worked last Format: F5.0 Measure: Nominal Display Width: 10 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DONT KNOW 9999 NA	4105
LEAVEJB	Label: Why did R leave last job Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Left Voluntarily 2 Job was abolished 3 Permanently laid off 8 DONT KNOW 9 NA	4106
WHYNOJB1	Label: Why job abolished or laid off Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 COMPANY'S SALES WERE DECLINING 2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE 3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB 4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES 5 JOB MOVED TO ANOTHER COUNTRY 6 OTHER 7 COMPANY SOLD 8 JOB DONE 9 COMPANY IN FINANCIAL PROBLEM 10 END OF CONTRACT 11 SEASONAL WORK 98 DONT KNOW 99 NA	4107
WHYNOJB2	Label: Why job abolished or laid off Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 COMPANY'S SALES WERE DECLINING 2 MACHINES AND COMPUTERS MADE MY JOB OBSOLETE 3 JOB REQUIREMENTS CHANGED AND I WAS NOT ABLE TO DO THE JOB 4 JOB MOVED TO ANOTHER LOCATION IN THE UNITED STATES 5 JOB MOVED TO ANOTHER COUNTRY 6 OTHER 7 COMPANY SOLD 8 JOB DONE 9 COMPANY IN FINANCIAL PROBLEM 10 END OF CONTRACT 11 SEASONAL WORK 98 DONT KNOW 99 NA	4108
INCLSTJB	Label: Earnings from all sources for this job Format: F2.0 Measure: Scale Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 A. UNDER $1,000 2 B. $1,000 to 2,999 3 C. $3,000 to 3,999 4 D. $4,000 to 4,999 5 E. $5,000 to 5,999 6 F. $6,000 to 6,999 7 G. $7,000 to 7,999 8 H. $8,000 to 9,999 9 I. $10,000 to 12,499 10 J. $12,500 to 14,999 11 K. $15,000 to 17,499 12 L. $17,500 to 19,999 13 M. $20,000 to 22,499 14 N. $22,500 to 24,999 15 O. $25,000 to 29,999 16 P. $30,000 to 34,999 17 Q. $35,000 to 39,999 18 R. $40,000 to 49,999 19 S. $50,000 to 59,999 20 T. $60,000 to 74,999 21 U. $75,000 to $89,999 22 V. $90,000 to $109,999 23 W. $110,000 to $129,999 24 X. $130,000 to $149,999 25 Y. $150,000 or over 98 DONT KNOW 99 NA	4109
BORNSP	Label: In what country were you born Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 USA 2 Antigua 3 Trinidad 4 Jamaica 5 Pakistan 6 Turkey 7 Italy 8 West Indies 9 Colombia 10 Kazakhstan 12 Cuba 13 India 14 Germany 15 Ecuador 16 Mexico 17 Portugal 18 El Salvador 19 Canada 20 Guatemala 21 Zimbabwe 23 Taiwan 24 Philippines 25 Israel 26 Dominican Republic 27 Scotland 28 Haiti 29 Honduras 30 Puerto Rico 31 Austraila 32 China 33 Poland 34 Lithuania 35 Liberia 36 Brazil 37 Morocco 38 Spain 39 Bulgeria 40 USSR 41 Kuwait 42 Japan 43 Korea 44 Vietnam 45 Bermuda 46 Ghana 47 Panama 48 France 49 Romania 50 South Africa 51 England 52 Britain 98 DONT KNOW 99 NA	4110
AGECMEUS	Label: If born outside usa, what age were you when you permanently moved to usa Format: F2.0 Measure: Scale Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 96 HAVE NOT PERMANENTLY MOVED TO US 98 DONT KNOW 99 NA	4111
VISA	Label: Do you hold a special visa Format: F1.0 Measure: Nominal Display Width: 6 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4112
TYPEVISA	Label: What kind of visa Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 H1b 2 L1 3 Student 4 Tourist 5 Other 8 DONT KNOW 9 NA	4113
NATDEG	Label: In which country did you obtain your highest degree? Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 USA 2 Antigua 3 Trinidad 4 Jamaica 5 Pakistan 6 Turkey 7 Italy 8 West Indies 9 Colombia 10 Kazakhstan 12 Cuba 13 India 14 Germany 15 Ecuador 16 Mexico 17 Portugal 18 El Salvador 19 Canada 20 Guatemala 21 Zimbabwe 23 Taiwan 24 Philippines 25 Israel 26 Dominican Republic 27 Scotland 28 Haiti 29 Honduras 30 Puerto Rico 31 Austraila 32 China 33 Poland 34 Lithuania 35 Liberia 36 Brazil 37 Morocco 38 Spain 39 Bulgeria 40 USSR 41 Kuwait 42 Japan 43 Korea 44 Vietnam 45 Bermuda 46 Ghana 47 Panama 48 France 49 Romania 50 South Africa 51 England 52 Britain 98 DONT KNOW 99 NA	4114
EMPHLTH	Label: Do you receive health insurance from employer Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4115
EMPHPLAN	Label: Name of insurance or hmo Format: F2.0 Measure: Scale Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Aetna 2 Anthem/Wellpoint 3 Blue Cross/Blue Shield 4 Blue Cross 5 Blue Shield 6 Cigna 7 Covington 8 Harvard Pilgrim 9 Humana 10 Kaiser Permanente 11 Tufts 12 United 13 Wellpoint 14 Oxford 15 HealthNet 16 United Health Care 17 Health Partners 18 Great West 19 Unicare 20 Medcost 21 Pacific Care 22 Fallon HMO 23 Arise 24 Medical Mutual of Ohio 25 Florida Health Care 26 Hawaiian Medical System Association 27 Coventry 28 Winhealth 29 Health Choice 30 Preferred Care 31 MVP 32 First Health 33 UMR 34 Affinity Health Care 35 Priority Health 36 GHI 87 Christian Brothers Employee Benefit Trust 89 Other 98 DONT KNOW 99 NA	4116
OTHPLAN	Label: Other name for insurance or hmo policy Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, ANOTHER NAME 2 NO OTHER NAME 8 DONT KNOW 9 NA	4117
SEXSEX18	Label: Since age 18, have your sex partner's been... Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Only men 2 Some women, but mostly men 3 Equally men and women 4 Some men, but mostly women 5 Only Women 6 I have not had any sex partners 8 DONT KNOW 9 NA	4118
TOLDSMSX	Label: At what age you first told someone that you had sex with same sex Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Under age 14 2 Age 14-18 3 Age 18-25 4 Age 26-35 5 Age 36-45 6 Age 46-55 7 Age 56-65 8 Age 66 or older 9 I have never told anyone 98 DONT KNOW 99 NA	4119
ATTRACTD	Label: At what age were you first sexually attracted to same sex Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Under age 14 2 Age 14-18 3 Age 18-25 4 Age 26-35 5 Age 36-45 6 Age 46-55 7 Age 56-65 8 Age 66 or older 9 I have never told anyone I have never been sexually attracted to someone of the same sex 98 DONT KNOW 99 NA	4120
TOLDSXOR	Label: At what age you first told someone that you were gay/les/bi Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Under age 14 2 Age 14-18 3 Age 18-25 4 Age 26-35 5 Age 36-45 6 Age 46-55 7 Age 56-65 8 Age 66 or older 9 I have never told anyone 98 DONT KNOW 99 NA	4121
RELGENDR	Label: What is your relationship situation Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I am in a steady relationship with a woman and we live together 2 I am in a steady relationship with a man and we live together 3 I am in a steady relationship with a woman and we do not live together 4 I am in a steady relationship with a man and we do not live together 5 I am not in a steady relationship right now 8 DONT KNOW 9 NA	4122
MARUNION	Label: Legal marital status Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Legally married 2 In a civil union or registered domestic partnership 3 Separated 4 Not currently married or in a civil union or registered domestic partnership 8 DONT KNOW 9 NA	4123
SEXUNION	Label: Sex of R's spouse/civil union partner/domestic partner Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Male 2 Female 8 DONT KNOW 9 NA	4124
EVKID	Label: Have ever given birth to/fathered a child Format: F1.0 Measure: Nominal Display Width: 7 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4125
ADOPTKID	Label: Have ever legally adopted a child Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4126
KIDLIVED	Label: Children under 18 have ever lived with R under R's care Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4127
KIDRESP	Label: R is legally responsible biological/adoptive parent of a child under 18 Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4128
KIDNOW1	Label: R's children under 18 living with R Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, all of them live with me at least some of the time 2 Some live with me at least some of the time 3 None live with me 8 DONT KNOW 9 NA	4129
KIDNOW2	Label: R is living in a hh where children under 18 are living with R under R's care Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4130
TOLDWORK	Label: How many of R's coworkers know R is gay/les/bi Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 All of my coworkers 2 More than half 3 About half 4 Less than half 5 None of them 8 DONT KNOW 9 NA	4131
EVLOSEJB	Label: In life, R has ever been denied a job or fired bc employers believed R was gay/les/bi Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4132
LOSEJOB5	Label: In last 5 yrs, R has been denied a job or fired bc employer believed R was gay/les/bi Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 3 NOT EMPLOYED IN LAST 5 YEARS 8 DONT KNOW 9 NA	4133
EVNEGJOB	Label: In life, R ever been denied promo or recvd bad evaluation bc employr belivd R was gay/les/bi Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4134
NEGJOB5	Label: In last 5 yrs, R been denied promo or recvd bad evaluation bc employr belivd R was gay/les/bi Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 3 NOT EMPLOYED IN LAST 5 YEARS 8 DONT KNOW 9 NA	4135
EVHARJB	Label: In life, R has ever been harassed on job bc R was believed to be gay/les/bi Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4136
HARJOB5	Label: In last 5 yrs, R has ever been harassed on job bc R was believed to be gay/les/bi Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 3 NOT EMPLOYED IN LAST 5 YEARS 8 Don't know 9 No answer	4137
EVDWELL	Label: In life, R has ever been prevented from moving bc landlord believed R was gay/les/bi Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4138
DWELL5	Label: In last 5 yrs, R has been prevented from moving bc landlord believed R was gay/les/bi Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4139
EMPHLTH1	Label: Current employer offer health care insurance to R as employee Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4140
EMPHLTH2	Label: Employers coverage Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Only individual employees are covered 2 Employees and their spouses are covered but domestic partners are not covered 3 Employees and their spouses are covered and domestic partners are covered 8 DONT KNOW 9 NA	4141
HLTHCOVR	Label: R has health insurance coverage Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4142
HLTHTYPE	Label: Source of health insurance Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 My employer 2 Employer of my spouse/partner 3 Employer of someone else in my family 4 MEDICAID 5 MEDICARE 6 Individual plan from private insurer not related to current or past employment 7 Other 8 DONT KNOW 9 NA	4143
SPPART	Label: R's current insurance plan covers spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 3 Not Applicable 8 DONT KNOW 9 NA	4144
MYKIDS	Label: R's current insurance plan covers children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 3 Not Applicable 8 DONT KNOW 9 NA	4145
OTHKIDS	Label: R's current insurance plan covers children for whom R not a bio/adoptive parent Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 3 Not Applicable 8 DONT KNOW 9 NA	4146
HARSEXJB	Label: R has been the object of sexual advances/propositions from supervisor's Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4147
HARSEXCL	Label: Since 18 R has ever found self the object of sexual advances from religious leaders Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4148
OWNCLERG	Label: Did this happen with a leader in congregation R was attending Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4149
NUMCLERG	Label: With how many different leaders has this happened to you Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 8 DONT KNOW 9 NA	4150
OPENREL1	Label: R and leader ever become an openly acknowledged couple Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4151
OPENREL2	Label: R and leader ever become an openly acknowledged couple Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4152
OPENREL3	Label: R and leader ever become an openly acknowledged couple Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4153
COUNSEL1	Label: Leader1 was R's counselor Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4154
COUNSEL2	Label: Leader2 was R's counselor Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4155
COUNSEL3	Label: Leader3 was R's counselor Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4156
CLRGMAR1	Label: Leader1 was married at the time Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4157
CLRGMAR2	Label: Leader2 was married at the time Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4158
CLRGMAR3	Label: Leader3 was married at the time Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4159
CLRGSEX1	Label: R had sexual contact with leader1 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4160
CLRGSEX2	Label: R had sexual contact with leader2 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4161
CLRGSEX3	Label: R had sexual contact with leader3 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4162
CLRGGEN1	Label: Sex of leader1 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Male 2 Female 8 DONT KNOW 9 NA	4163
CLRGGEN2	Label: Sex of leader2 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Male 2 Female 8 DONT KNOW 9 NA	4164
CLRGGEN3	Label: Sex of leader3 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Male 2 Female 8 DONT KNOW 9 NA	4165
ONGOREL1	Label: R had an ongoing relationship with leader1 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4166
ONGOREL2	Label: R had an ongoing relationship with leader2 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4167
ONGOREL3	Label: R had an ongoing relationship with leader3 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4168
HUSHREL1	Label: Leader1 tried to keep R from telling other people about the relationship Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4169
HUSHREL2	Label: Leader2 tried to keep R from telling other people about the relationship Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4170
HUSHREL3	Label: Leader3 tried to keep R from telling other people about the relationship Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4171
TOLDEXP1	Label: R has ever told anyone about experience with leader1 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4172
TOLDEXP2	Label: R has ever told anyone about experience with leader2 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4173
TOLDEXP3	Label: R has ever told anyone about experience with leader3 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4174
TOLDREL1	Label: R ever told any authority in congregation about experience with leader1 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4175
TOLDREL2	Label: R ever told any authority in congregation about experience with leader2 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4176
TOLDREL3	Label: R ever told any authority in congregation about experience with leader3 Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4177
KNWCLSEX	Label: R knows other people who were obj of sexual advances Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4178
CLSCLSEX	Label: Any of them were close friends or family members Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4179
CLRGMODE	Label: Was SAQ self administered or interview administered Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Interviewed 2 Self-administered	4180
PRESPOP	Label: Approve of pres handling job Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Approve 2 Disapprove 8 DON'T KNOW 9 No answer	4181
VOLACTYR	Label: Since last yr any volunteering Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DON'T KNOW 9 No answer	4182
VOLACTY2	Label: Done other types of volunteering for child's school or youth org Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DON'T KNOW 9 No answer	4183
POLEFY3	Label: Avg citizen influence on politics Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 None 2 A little 3 Some 4 Quite a bit 5 A great deal 8 DON'T KNOW 9 No answer	4184
POLEFY11	Label: How much say about what govt does Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 None 2 A little 3 Some 4 Quite a bit 5 A great deal 8 DON'T KNOW 9 No answer	4185
POLEFY13	Label: Understand issues facing country Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 None 2 A little 3 Some 4 Quite a bit 5 A great deal 8 DON'T KNOW 9 No answer	4186
POLEFY15	Label: How informed about politics Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 None 2 A little 3 Some 4 Quite a bit 5 A great deal 8 DON'T KNOW 9 No answer	4187
POLEFY16	Label: How often congress keeps promises Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Never 2 Rarely 3 Sometimes 4 Very often 5 Extremely often 8 DON'T KNOW 9 No answer	4188
POLEFY17	Label: How many govt admins can be trusted to do what's best Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 None 2 A few 3 Some 4 Most 5 All 8 DON'T KNOW 9 No answer	4189
RATETONE	Label: R's facial coloring by interviewer Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Lightest 10 Darkest 98 DK 99 NA	4190
PUBDEF	Label: Should media publish defense plans Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALLOW PUBLICATION 2 STOP PUBLICATION 8 CANT CHOOSE 9 NA	4191
PUBECON	Label: Should media publish economic plans? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALLOW PUBLICATION 2 STOP PUBLICATION 8 CANT CHOOSE 9 NA	4192
OBEYLAW	Label: Should people obey laws without exceptn? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS OBEY LAW 2 FOLLOW CONSCIENCE 8 CANT CHOOSE 9 NA	4193
PROTEST1	Label: Allow public meetings protesting govt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4194
PROTEST2	Label: Allow publications protesting govt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4195
PROTEST3	Label: Allow demonstrations protesting govt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4196
PROTEST4	Label: Allow occupation of govt office Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4197
PROTEST5	Label: Allow damage of govt buildings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4198
PROTEST6	Label: Allow national anti-govt strike Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4199
REVSPEAK	Label: Allow revolutionary public meetings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4200
REVTCH15	Label: Allow revolutionaries to teach children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4201
REVPUB	Label: Allow revolutionaries to publish books Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4202
RACSPEAK	Label: Allow racists to hold public meetings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4203
RACTCH15	Label: Allow racists to teach 15 yr. olds Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4204
RACPUB	Label: Allow racists to publish books Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4205
CRIMTAIL	Label: Should police tail a known criminal? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4206
CRIMTAP	Label: Should police tap phone of a criminal? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4207
CRIMREAD	Label: Should police open mail of a criminal? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4208
CRIMHOLD	Label: Should police detain a known criminal? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4209
MANTAIL	Label: Should police tail a suspect? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4210
MANTAP	Label: Should police tap phone of a suspect? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4211
MANREAD	Label: Should police open mail of a suspect? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4212
MANHOLD	Label: Should police detain a suspect? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA	4213
VERDICT	Label: Worse type of judicial mistake Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CONVICT INNOCENT 2 FREE THE GUILTY 8 CANT CHOOSE 9 NA	4214
DATABANK	Label: Computer data threat to individual privacy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY SERIOUS THREAT 2 FAIRLY SERIOUS 3 NOT SERIOUS 4 NOT A THREAT AT ALL 8 CANT CHOOSE 9 NA	4215
PROGTAX	Label: How much income tax should rich pay? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PAY MUCH MORE 2 PAY MORE 3 ALL PAY SAME 4 PAY LESS 5 PAY MUCH LESS 8 CANT CHOOSE 9 NA	4216
EQINCOME	Label: Govt should redistribute wealth Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 8 DK 9 NA	4217
OPRICH	Label: Child of rich has better opportunity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 8 DK 9 NA	4218
OPPROF	Label: Child of profssnl has better opportunity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 8 DK 9 NA	4219
OPFAMILY	Label: Family bkgd determines success in U.S. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 8 DK 9 NA	4220
FECOLOP	Label: College opportunities for women Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTR FOR WOMEN 2 BETTER FOR WOMEN 3 NO DIFFERENCE 4 WORSE FOR WOMEN 5 MUCH WRSE FOR WOMEN 8 CANT CHOOSE 9 NA	4221
FEJOBOP	Label: Job opportunities for women Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTR FOR WOMEN 2 BETTER FOR WOMEN 3 NO DIFFERENCE 4 WORSE FOR WOMEN 5 MUCH WRSE FOR WOMEN 8 CANT CHOOSE 9 NA	4222
FEINC	Label: Income for women vs. men with same bkgd Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTR FOR WOMEN 2 BETTER FOR WOMEN 3 NO DIFFERENCE 4 WORSE FOR WOMEN 5 MUCH WRSE FOR WOMEN 8 CANT CHOOSE 9 NA	4223
FEHLPBUS	Label: Govt should aid women seeking jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 9 NA	4224
FEHLPCOL	Label: Govt should aid women seeking higher ed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 9 NA	4225
FEHLPJOB	Label: Women should be given preference in jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 9 NA	4226
HSBASICS	Label: School subjects: reading, writing, math Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA	4227
HSSEXED	Label: School subjects: sex education Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA	4228
HSRESPCT	Label: School subjects: respect for authority Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA	4229
HSLIBART	Label: School subjects: history, liter., arts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA	4230
HSJUDGE	Label: School subjects: good judgment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA	4231
HSJOBTR	Label: School subjects: job training Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA	4232
HSSCI	Label: School subjects: science and technology Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA	4233
HSCARING	Label: School subjects: concern for others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA	4234
HSORDER	Label: School subjects: discipline and order Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA	4235
COLOP	Label: Should chances for college be changed? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 INCREASED A LOT 2 INCREASED A LITTLE 3 KEPT THE SAME 4 REDUCED A LITTLE 5 REDUCED A LOT 8 CANT CHOOSE 9 NA	4236
AIDNEEDY	Label: Govt money for low income students Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVT GIVE GRANTS 2 GOVT MAKE LOANS 3 NO GOVT ASST 8 CANT CHOOSE 9 NA	4237
AIDSMART	Label: Govt money for high achieving students Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVT GIVE GRANTS 2 GOVT MAKE LOANS 3 NO GOVT ASST 8 CANT CHOOSE 9 NA	4238
AIDAVG	Label: Gov $ for stdnts with avg inc and grades Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVT GIVE GRANTS 2 GOVT MAKE LOANS 3 NO GOVT ASST 8 CANT CHOOSE 9 NA	4239
KIDDRUGS	Label: Govt intervene: child uses drugs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA	4240
KIDSKIPS	Label: Govt intervene: child skips school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA	4241
KIDOUT	Label: Govt intervene: child stays out late Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA	4242
KIDNEEDY	Label: Govt intervene: child is neglected Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA	4243
KIDBEAT	Label: Govt intervene: child is abused Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA	4244
KIDHLTH	Label: Govt intervene: child not givn med trtmt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA	4245
KIDEDPAR	Label: Govt intervene: child not sent to school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA	4246
KIDXFILM	Label: Govt intervene: chld allowed to see porn Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA	4247
BELTUP	Label: Govt should require use of seat belts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 9 NA	4248
NOSMOKE	Label: Gov should prohibit smoking in pub areas Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 9 NA	4249
MUSTRET	Label: Govt should enforce mandatory retirement Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 9 NA	4250
POLEFF1	Label: Public has little control over politics Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA	4251
POLEFF2	Label: Not worth talking to politicians Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA	4252
POLEFF3	Label: Avg person can influence politicians Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE-STRONGLY AGREE 2 DISAGREE-AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CAN'T CHOOSE 9 NA	4253
POLEFF4	Label: Avg person can influence local govt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA	4254
POLEFF5	Label: People like me have much to say re govt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA	4255
POLEFF6	Label: Avg person can influence govt decisions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA	4256
POLEFF7	Label: Govt is generally responsive to public Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA	4257
POLEFF8	Label: I am usually interested in local elections Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA	4258
POLEFF9	Label: People can control world affairs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA	4259
POLEFF10	Label: The world is getting better Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA	4260
SETWAGE	Label: Govt control of wages Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA	4261
SETPRICE	Label: Govt control of prices Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA	4262
CUTGOVT	Label: Cuts in govt spending Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA	4263
MAKEJOBS	Label: Govt create new jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA	4264
LESSREG	Label: Less govt regulation of business Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA	4265
HLPHITEC	Label: Govt support for new products and tech Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA	4266
SAVEJOBS	Label: Govt support for declining industries Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA	4267
CUTHOURS	Label: Reduction in length of work week Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA	4268
SPENVIRO	Label: Govt spending on environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4269
SPHLTH	Label: Govt spending on health Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4270
SPPOLICE	Label: Govt spending on law enforcement Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4271
SPSCHOOL	Label: Govt spending on education Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4272
SPARMS	Label: Govt spending on defense Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4273
SPRETIRE	Label: Govt spending on retirement benefits Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4274
SPUNEMP	Label: Govt spending on unemployment benefits Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4275
SPARTS	Label: Govt spending on culture and the arts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4276
INCTAX	Label: Amount of tax on R's household income Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH TOO HIGH 2 TOO HIGH 3 ABOUT RIGHT 4 TOO LOW 5 MUCH TOO LOW 6 DOES NOT APPLY 8 CANT CHOOSE 9 NA	4277
BUSTAX	Label: Amount of tax on business and industry Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH TOO HIGH 2 TOO HIGH 3 ABOUT RIGHT 4 TOO LOW 5 MUCH TOO LOW 8 CANT CHOOSE 9 NA	4278
INFLJOBS	Label: Top priority of govt: inflation or jobs? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 KEEP DOWN INFLATION 2 KEEP DOWN UNEMPLYMNT 8 CANT CHOOSE 9 NA	4279
LABORPOW	Label: Power of labor unions in R's country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAR TOO MUCH POWER 2 TOO MUCH POWER 3 RIGHT AMNT OF POWER 4 TOO LITTLE POWER 5 FAR TOO LITTLE POWER 8 CANT CHOOSE 9 NA	4280
BUSPOW	Label: Power of business and industry Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAR TOO MUCH POWER 2 TOO MUCH POWER 3 RIGHT AMNT OF POWER 4 TOO LITTLE POWER 5 FAR TOO LITTLE POWER 8 CANT CHOOSE 9 NA	4281
GOVTPOW	Label: Power of federal govt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAR TOO MUCH POWER 2 TOO MUCH POWER 3 RIGHT AMNT OF POWER 4 TOO LITTLE POWER 5 FAR TOO LITTLE POWER 8 CANT CHOOSE 9 NA	4282
OWNPOWER	Label: Govts role in electric power Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OWN IT 2 CONTROL PRICES 3 LEAVE ALONE 8 CANT CHOOSE 9 NA	4283
OWNMASS	Label: Govts role in local mass transportation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OWN IT 2 CONTROL PRICES 3 LEAVE ALONE 8 CANT CHOOSE 9 NA	4284
OWNSTEEL	Label: Govts role in the steel industry Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OWN IT 2 CONTROL PRICES 3 LEAVE ALONE 8 CANT CHOOSE 9 NA	4285
OWNBANKS	Label: Govts role in banking and insurance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OWN IT 2 CONTROL PRICES 3 LEAVE ALONE 8 CANT CHOOSE 9 NA	4286
OWNAUTOS	Label: Govts role in automobile industry Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OWN IT 2 CONTROL PRICES 3 LEAVE ALONE 8 CANT CHOOSE 9 NA	4287
JOBSALL	Label: Govts resp: provide jobs for all Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA	4288
PRICECON	Label: Govts resp: keep prices under control Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA	4289
HLTHCARE	Label: Govts resp: provide hlth care for sick Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA	4290
AIDOLD	Label: Govts resp: provide for the elderly Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA	4291
AIDINDUS	Label: Govts resp: assist industrial growth Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA	4292
AIDUNEMP	Label: Govts resp: provide for the unemployed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA	4293
EQUALIZE	Label: Govts resp: reduce income differences Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA	4294
AIDCOL	Label: Gov. should assist low-income college student Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA	4295
AIDHOUSE	Label: Gov. should provide housing to poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA	4296
PROTSTRS	Label: Feel about people protest gov Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY FAVORABLE 2 FAVORABLE 3 NEITHER FAVORABLE OR UNFAVORABLE 4 UNFAVORABLE 5 EXTREMELY UNFAVORABLE 8 CANT CHOOSE 9 NA	4297
REVOLTRS	Label: Feel about people want to overthrow gov Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY FAVORABLE 2 FAVORABLE 3 NEITHER FAVORABLE OR UNFAVORABLE 4 UNFAVORABLE 5 EXTREMELY UNFAVORABLE 8 CANT CHOOSE 9 NA	4298
RACISTS	Label: Feel about people who are racist Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY FAVORABLE 2 FAVORABLE 3 NEITHER FAVORABLE OR UNFAVORABLE 4 UNFAVORABLE 5 EXTREMELY UNFAVORABLE 8 CANT CHOOSE 9 NA	4299
UNIONSOK	Label: How good union for the country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXCELLENT 2 VERY GOOD 3 FAIRLY GOOD 4 NOT VERY GOOD 5 NOT GOOD AT ALL 8 CANT CHOOSE 9 NA	4300
POLINT	Label: Your interest in politics Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY INTERESTED 2 FAIRLY INTERESTED 3 SOMEWHAT INTERESTED 4 NOT VERY INTERESTED 5 NOT AT ALL INTERESTED 8 CANT CHOOSE 9 NA	4301
RPRTST1	Label: Would you attend a public meeting Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINIETLY WOULD 2 PROBABLY WOULD 3 PROBABLY WOULD NOT 4 DEFINITELY WOULD NOT 8 DK 9 NA	4302
RPRTST3	Label: Would you go on a protest march-demonstration Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINIETLY WOULD 2 PROBABLY WOULD 3 PROBABLY WOULD NOT 4 DEFINITELY WOULD NOT 8 DK 9 NA	4303
RPRTST15	Label: How many times be a public meeting past 5 yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 ONCE 3 MORE THAN ONCE 8 DK 9 NA	4304
RPRTST35	Label: How many times gone on a protest march past 5 yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER 2 ONCE 3 MORE THAN ONCE 8 DK 9 NA	4305
GRNLAWS	Label: Gov resp tomake industry less damaging Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD BE 2 PROBABLY SHOULD BE 3 PROBABABLY SHOULD NOT BE 4 DEFINITELY SHOULD NOT BE 8 CANT CHOOSE 9 NA	4306
GENDEREQ	Label: Gov resp to promote equality Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should be 2 Probably should be 3 Probably should not be 4 Definitely should not be 8 DK 9 NA	4307
PRVDHLTH	Label: Who provides for sick people Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Government 2 Private companies/for-profit organizations 3 Non-profit organizations/charities/cooperatives 4 Religious organizations 5 Family, relatives or friends 8 DK 9 NA	4308
PRVDOLD	Label: Who provides for old people Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Government 2 Private companies/for-profit organizations 3 Non-profit organizations/charities/cooperatives 4 Religious organizations 5 Family, relatives or friends 8 DK 9 NA	4309
PRVDSCHL	Label: Who provides school educ Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Government 2 Private companies/for-profit organizations 3 Non-profit organizations/charities/cooperatives 4 Religious organizations 5 Family, relatives or friends 8 DK 9 NA	4310
GVINFLU1	Label: What peo or org have most inf Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 The media 2 Trade unions 3 Businesses, banks and industry 4 Religious organizations/authorities 5 The military/army 6 Organized Crime 7 People who vote for the party/parties in government 8 Citizens in general 9 Civic and voluntary organizations 10 International organizations (e.g. United Nations, International Monetary Fund) 11 Can’t choose 98 DK 99 NA 100 DON'T KNOW	4311
GVINFLU2	Label: What peo or org have 2nd most inf Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 The media 2 Trade unions 3 Businesses, banks and industry 4 Religious organizations/authorities 5 The military/army 6 Organized Crime 7 People who vote for the party/parties in government 8 Citizens in general 9 Civic and voluntary organizations 10 International organizations (e.g. United Nations, International Monetary Fund) 11 Can’t choose 98 DK 99 NA 100 DON'T KNOW	4312
POLGBECO	Label: What is your view on politics in us & world Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Policies in America depend on what is happening in the world economy, rather than who is in government 2 Policies in America depend more on who is in government, rather than what is happening in the world economy 8 DK 9 NA	4313
POLEFF11	Label: Don't have any say about what the government does Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4314
POLEFF12	Label: Even best politician cannot have much impact Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4315
POLEFF13	Label: Have a pretty good understanding of issues Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4316
POLEFF14	Label: Elections a good way of making gov pay attention Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4317
POLEFF15	Label: Most people better informed about politics than I Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4318
POLEFF16	Label: People elected to congress try to keep promises Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4319
POLEFF17	Label: Most government administratoR's can be trusted Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4320
DEMWORKS	Label: How well the system of democracy in America works? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IT WORKS WELL AND NEEDS NO CHANGES 2 IT WORKS WELL BUT NEEDS SOME CHANGES 3 NEEDS A LOT OF CHANGES 4 NEEDS TO BE COMPLETELY CHANGED 8 CANT CHOOSE 9 NA	4321
TAXSPEND	Label: Choice between reducing taxes or spending more Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REDUCE TAXES 2 SPEND MORE ON SOCIAL PROGRAMS 8 CANT CHOOSE 9 NA	4322
TAXPAID	Label: Do authorities ensure taxes are paid Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost always 2 Often 3 Sometimes 4 Almost never 8 DK 9 NA	4323
TAXBYLAW	Label: Do authorities tax legally Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost always 2 Often 3 Sometimes 4 Almost never 8 DK 9 NA	4324
BRLAWFL	Label: Do private companies comply with regulations Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost always 2 Often 3 Sometimes 4 Almost never 8 DK 9 NA	4325
BRNOTAX	Label: Do private companies avoid taxes Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost always 2 Often 3 Sometimes 4 Almost never 8 DK 9 NA	4326
RUNPOWER	Label: Electric power should mainly be run by private Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BY PRIVATE 2 BY THE GOVERNMENT 8 CANT CHOOSE 9 NA	4327
RUNHOSP	Label: Hospitals should mainly be run by private Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BY PRIVATE 2 BY THE GOVERNMENT 8 CANT CHOOSE 9 NA	4328
RUNBANKS	Label: Banks should mainly be run by private Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BY PRIVATE 2 BY THE GOVERNMENT 8 CANT CHOOSE 9 NA	4329
CUTDEBT	Label: Should the government cut debt? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SPEND ON SOCIAL PROGRAMS LIKE HEALTH 2 SPEND LESS THAN NOW ON SOCIAL PROGRAMS 8 CANT CHOOSE 9 NA	4330
HELPHLTH	Label: How successful is govt: providing hlth care for the sick Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very successful 2 Quite successful 3 Neither successful nor un-successful 4 Quite un-successful 5 Very un-successful 8 CANT CHOOSE 9 NA	4331
HELPOLD	Label: How successful is govt: decent standard of living for the old Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very successful 2 Quite successful 3 Neither successful nor un-successful 4 Quite un-successful 5 Very un-successful 8 CANT CHOOSE 9 NA	4332
HELPSEC	Label: How successful is govt: dealing with America s security Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very successful 2 Quite successful 3 Neither successful nor un-successful 4 Quite un-successful 5 Very un-successful 8 CANT CHOOSE 9 NA	4333
HELPCRIM	Label: How successful is govt: controlling crime Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very successful 2 Quite successful 3 Neither successful nor un-successful 4 Quite un-successful 5 Very un-successful 8 CANT CHOOSE 9 NA	4334
HELPEMP	Label: How successful is govt: fighting unemployment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very successful 2 Quite successful 3 Neither successful nor un-successful 4 Quite un-successful 5 Very un-successful 8 CANT CHOOSE 9 NA	4335
HELPENV	Label: How successful is govt: protecting environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very successful 2 Quite successful 3 Neither successful nor un-successful 4 Quite un-successful 5 Very un-successful 8 CANT CHOOSE 9 NA	4336
CCTV	Label: Civil liberties - video surveillance Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should have the right 2 Probably should have the right 3 Probably should not have the right 4 Definitely should not have the right 8 DK 9 NA	4337
EMONITOR	Label: Civil liberties - monitor emails Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should have the right 2 Probably should have the right 3 Probably should not have the right 4 Definitely should not have the right 8 DK 9 NA	4338
GOVTINFO	Label: Should govt info be public Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -3 NO ANSWER -2 DON'T KNOW -1 IAP 0 All government information should be publically available, even if this meant a risk to public security 10 Public security should be given priority, even if this means limiting access to government information 98 DK 99 NA	4339
GIVINFUSA	Label: Should govt collect citizen info without knowledge Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should have the right 2 Probably should have the right 3 Probably should not have the right 4 Definitely should not have the right 8 DK 9 NA	4340
GIVINFFOR	Label: Should govt collect foreigner info without knowledge Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should have the right 2 Probably should have the right 3 Probably should not have the right 4 Definitely should not have the right 8 DK 9 NA	4341
WOTRIAL	Label: Should authorities have right to detain the suspected Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should have right 2 Probably should have right 3 Probably should not have right 4 Definitely should not have right 8 CANT CHOOSE 9 NA	4342
TAPPHONE	Label: Should authorities have right to tap phone conveR'sation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should have right 2 Probably should have right 3 Probably should not have right 4 Definitely should not have right 8 CANT CHOOSE 9 NA	4343
STOPRNDM	Label: Should authorities have right to search ppl in the street Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should have right 2 Probably should have right 3 Probably should not have right 4 Definitely should not have right 8 CANT CHOOSE 9 NA	4344
FEWTRSTY	Label: There are only a few people R can trust completely Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	4345
EXPLOIT	Label: Other people take advantage of R if not careful Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	4346
YOUINFLU	Label: How often R is asked to help influence important decision Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Never 2 Seldom 3 Occasionally 4 Often 8 CANT CHOOSE 9 NA	4347
HLPINFLU	Label: Does R have people to ask to influence important decision Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 No, nobody 2 Yes, a few people 3 Yes, some people 4 Yes, a lot of people 8 CANT CHOOSE 9 NA	4348
POLSFAIR	Label: Opinion of fairness of public official s treatment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost always 2 Often 3 Occasionally 4 Seldom 5 Almost never 8 CANT CHOOSE 9 NA	4349
KNOWPOLS	Label: Public official s treatment depends on who they know Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely does 2 Probably does 3 Probably does not 4 Definitely does not 8 CANT CHOOSE 9 NA	4350
CORRUPT1	Label: Opinion of corruption by politician Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost none 2 A few 3 Some 4 Quite a lot 5 Almost all 8 CANT CHOOSE 9 NA	4351
CORRUPT2	Label: Opinion of corruption by government administrators Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Almost none 2 A few 3 Some 4 Quite a lot 5 Almost all 8 CANT CHOOSE 9 NA	4352
BRIBE	Label: Does R see public official asking for a bribe in last five years Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Never 2 Seldom 3 Occasionally 4 Quite often, or 5 Very often 8 CANT CHOOSE 9 NA	4353
PEOCNTCT	Label: How many people in contact in a typical weekday Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 0-4 persons 2 5-9 3 10-19 4 20-49 5 50 or more 8 CANT CHOOSE 9 NA	4354
MALIVE	Label: Mother still alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	4355
MAVISIT	Label: How often visit mother Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LIVES IN HSHLD 2 DAILY 3 SEVERAL X WEEK 4 ONCE A WEEK 5 ONCE A MONTH 6 SEVERAL X YEAR 7 LESS OFTEN 98 DK 99 NA	4356
MATIME	Label: Travel time to mother Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LT 15 MIN 2 15-30 MIN 3 30 MIN-1 HR 4 1-2 HR 5 2-3 HR 6 3-5 HR 7 5-12 HR 8 12+ HR 98 DK 99 NA	4357
MACALL	Label: Contact with mother Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DAILY 2 SEVERAL X WEEK 3 ONCE A WEEK 4 ONCE A MONTH 5 SEVERAL X YEAR 6 LESS OFTEN 8 DK 9 NA	4358
PALIVE	Label: Father still alive? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	4359
PAVISIT	Label: How often visit father Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LIVES IN HSHLD 2 DAILY 3 SEVERAL X WEEK 4 ONCE A WEEK 5 ONCE A MONTH 6 SEVERAL X YEAR 7 LESS OFTEN 98 DK 99 NA	4360
PATIME	Label: Travel time to father Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LT 15 MIN 2 15-30 MIN 3 30 MIN-1 HR 4 1-2 HR 5 2-3 HR 6 3-5 HR 7 5-12 HR 8 12+ HR 98 DK 99 NA	4361
PACALL	Label: Contact with father Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DAILY 2 SEVERAL X WEEK 3 ONCE A WEEK 4 ONCE A MONTH 5 SEVERAL X YEAR 6 LESS OFTEN 8 DK 9 NA	4362
SISNUM	Label: Number of adult sister's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NONE 1 ONE 2 TWO 3 THREE 4 FOUR 5 FIVE + 8 DK 9 NA	4363
SISVISIT	Label: How often visit sister Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LIVES IN HSHLD 2 DAILY 3 SEVERAL X WEEK 4 ONCE A WEEK 5 ONCE A MONTH 6 SEVERAL X YEAR 7 LESS OFTEN 98 DK 99 NA	4364
SISTIME	Label: Travel time to sister Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LT 15 MIN 2 15-30 MIN 3 30 MIN-1 HR 4 1-2 HR 5 2-3 HR 6 3-5 HR 7 5-12 HR 8 12+ HR 98 DK 99 NA	4365
SISCALL	Label: Contact with sister Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DAILY 2 SEVERAL X WEEK 3 ONCE A WEEK 4 ONCE A MONTH 5 SEVERAL X YEAR 6 LESS OFTEN 8 DK 9 NA	4366
BRONUM	Label: Number of adult brothers Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NONE 1 ONE 2 TWO 3 THREE 4 FOUR 5 FIVE + 8 DK 9 NA	4367
BROVISIT	Label: How often visit brother Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LIVES IN HSHLD 2 DAILY 3 SEVERAL X WEEK 4 ONCE A WEEK 5 ONCE A MONTH 6 SEVERAL X YEAR 7 LESS OFTEN 98 DK 99 NA	4368
BROTIME	Label: Travel time to brother Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LT 15 MIN 2 15-30 MIN 3 30 MIN-1 HR 4 1-2 HR 5 2-3 HR 6 3-5 HR 7 5-12 HR 8 12+ HR 98 DK 99 NA	4369
BROCALL	Label: Contact with brother Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DAILY 2 SEVERAL X WEEK 3 ONCE A WEEK 4 ONCE A MONTH 5 SEVERAL X YEAR 6 LESS OFTEN 8 DK 9 NA	4370
DAUNUM	Label: Number of adult daughteR's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NONE 1 ONE 2 TWO 3 THREE 4 FOUR 5 FIVE + 8 DK 9 NA	4371
DAUVISIT	Label: How often visit with daughter Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LIVES IN HSHLD 2 DAILY 3 SEVERAL X WEEK 4 ONCE A WEEK 5 ONCE A MONTH 6 SEVERAL X YEAR 7 LESS OFTEN 98 DK 99 NA	4372
DAUTIME	Label: Travel time to daughter Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LT 15 MIN 2 15-30 MIN 3 30 MIN-1 HR 4 1-2 HR 5 2-3 HR 6 3-5 HR 7 5-12 HR 8 12+ HR 98 DK 99 NA	4373
DAUCALL	Label: Contact with daughter Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DAILY 2 SEVERAL X WEEK 3 ONCE A WEEK 4 ONCE A MONTH 5 SEVERAL X YEAR 6 LESS OFTEN 8 DK 9 NA	4374
SONNUM	Label: Number of adult sons Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NONE 1 ONE 2 TWO 3 THREE 4 FOUR 5 FIVE + 8 DK 9 NA	4375
SONVISIT	Label: How often visit son Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LIVES IN HSHLD 2 DAILY 3 SEVERAL X WEEK 4 ONCE A WEEK 5 ONCE A MONTH 6 SEVERAL X YEAR 7 LESS OFTEN 98 DK 99 NA	4376
SONTIME	Label: Travel time to son Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LT 15 MIN 2 15-30 MIN 3 30 MIN-1 HR 4 1-2 HR 5 2-3 HR 6 3-5 HR 7 5-12 HR 8 12+ HR 98 DK 99 NA	4377
SONCALL	Label: Contact with son Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DAILY 2 SEVERAL X WEEK 3 ONCE A WEEK 4 ONCE A MONTH 5 SEVERAL X YEAR 6 LESS OFTEN 8 DK 9 NA	4378
POSSLQ	Label: Does R have marital partner Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED WITH PARTNER 2 LIVING AS MARRIED 3 PARTNER, NOT TOGETHER 4 NO STEADY PARTNER 8 DK 9 NA	4379
POSSLQY	Label: Relationship status and cohabitation or not Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I am married and living in the same household as my husband or wife. 2 I have a steady partner, and we live in the same household. 3 I have a husband or wife or steady partner, but we don’t live in the same household. 4 I don’t have a steady partner. 8 DON'T KNOW 9 No answer	4380
MARCOHAB	Label: Cohabitation status Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0 Value Label 0 IAP 1 Married 2 Not married, cohabitating partner 3 Not married, no cohabitating partner 4 Not married, missing on cohabitating 9 NA	4381
GRPARNUM	Label: Number of grandparents Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 96 96 OR MORE 97 # DK BUT > 0 98 DK 99 NA	4382
GRKIDNUM	Label: Number of adult grandchildren Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 96 96 OR MORE 97 # DK BUT > 0 98 DK 99 NA	4383
UNAUNUM	Label: Number of aunts and uncles Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 96 96 OR MORE 97 # DK BUT > 0 98 DK 99 NA	4384
INLAWNUM	Label: Number of in-laws Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 96 96 OR MORE 97 # DK BUT > 0 98 DK 99 NA	4385
RELNUM	Label: Number of adult nieces, nephews, etc Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 96 96 OR MORE 97 # DK BUT > 0 98 DK 99 NA	4386
RELMOST	Label: Adult relative R has most contact with Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 GRMOTHER 2 GRFATHER 3 GRDAUGHTER 4 GRANDSON 5 AUNT 6 UNCLE 7 MOTHER-IN-LAW 8 FATHER-IN-LAW 9 SISTER-IN-LAW 10 BROTHER-IN-LAW 11 FEMALE RELATIVE 12 MALE RELATIVE 13 NONE 98 DK 99 NA	4387
RELVISIT	Label: How often visit most contacted rel Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LIVES IN HSHLD 2 DAILY 3 SEVERAL X WEEK 4 ONCE A WEEK 5 ONCE A MONTH 6 SEVERAL X YEAR 7 LESS OFTEN 98 DK 99 NA	4388
RELTIME	Label: Travel time to most contacted rel Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LT 15 MIN 2 15-30 MIN 3 30 MIN-1 HR 4 1-2 HR 5 2-3 HR 6 3-5 HR 7 5-12 HR 8 12+ HR 98 DK 99 NA	4389
RELCALL	Label: Contact with most contacted rel Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DAILY 2 SEVERAL X WEEK 3 ONCE A WEEK 4 ONCE A MONTH 5 SEVERAL X YEAR 6 LESS OFTEN 8 DK 9 NA	4390
FRINUM	Label: Number of close friends Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 96 96 OR MORE 98 DK 99 NA	4391
FRIWORK	Label: Number of close friends are coworkers Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	4392
FRINEIGH	Label: Number of close friends are neighbors Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	4393
FRISEX	Label: Sex of closest friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MAN 2 WOMAN 8 DK 9 NA	4394
FRIVISIT	Label: How often visit closest friend Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LIVES IN HSHLD 2 DAILY 3 SEVERAL X WEEK 4 ONCE A WEEK 5 ONCE A MONTH 6 SEVERAL X YEAR 7 LESS OFTEN 98 DK 99 NA	4395
FRITIME	Label: Travel time to closest friend Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 LT 15 MIN 2 15-30 MIN 3 30 MIN-1 HR 4 1-2 HR 5 2-3 HR 6 3-5 HR 7 5-12 HR 8 12+ HR 98 DK 99 NA	4396
FRICALL	Label: Contact with closest friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DAILY 2 SEVERAL X WEEK 3 ONCE A WEEK 4 ONCE A MONTH 5 SEVERAL X YEAR 6 LESS OFTEN 8 DK 9 NA	4397
CHORES1	Label: Help for household tasks #1 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 SPOUSE 2 MOTHER 3 FATHER 4 DAUGHTER 5 SON 6 SISTER 7 BROTHER 8 OTHER RELATIVE 9 CLOSEST FRIEND 10 OTHER FRIEND 11 NEIGHBOR 12 COWORKER 13 SOCIAL SERVICE 14 PAID HELP 15 OTHER 16 NO ONE 98 DK 99 NA	4398
CHORES2	Label: Help for household tasks #2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 SPOUSE 2 MOTHER 3 FATHER 4 DAUGHTER 5 SON 6 SISTER 7 BROTHER 8 OTHER RELATIVE 9 CLOSEST FRIEND 10 OTHER FRIEND 11 NEIGHBOR 12 COWORKER 13 SOCIAL SERVICE 14 PAID HELP 15 OTHER 16 NO ONE 98 DK 99 NA	4399
SICK1	Label: Help if sick #1 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 SPOUSE 2 MOTHER 3 FATHER 4 DAUGHTER 5 SON 6 SISTER 7 BROTHER 8 OTHER RELATIVE 9 CLOSEST FRIEND 10 OTHER FRIEND 11 NEIGHBOR 12 COWORKER 13 NURSE 14 CLERGY 15 PAID HELP 16 OTHER 17 NO ONE 98 DK 99 NA	4400
SICK2	Label: Help if sick #2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 SPOUSE 2 MOTHER 3 FATHER 4 DAUGHTER 5 SON 6 SISTER 7 BROTHER 8 OTHER RELATIVE 9 CLOSEST FRIEND 10 OTHER FRIEND 11 NEIGHBOR 12 COWORKER 13 NURSE 14 CLERGY 15 PAID HELP 16 OTHER 17 NO ONE 98 DK 99 NA	4401
BORROW1	Label: Borrow money #1 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 SPOUSE 2 MOTHER 3 FATHER 4 DAUGHTER 5 SON 6 SISTER 7 BROTHER 8 OTHER RELATIVE 9 CLOSEST FRIEND 10 OTHER FRIEND 11 NEIGHBOR 12 COWORKER 13 BANK 14 EMPLOYER 15 GOVT OR SOC SER 16 OTHER 17 NO ONE 98 DK 99 NA	4402
BORROW2	Label: Borrow money #2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 SPOUSE 2 MOTHER 3 FATHER 4 DAUGHTER 5 SON 6 SISTER 7 BROTHER 8 OTHER RELATIVE 9 CLOSEST FRIEND 10 OTHER FRIEND 11 NEIGHBOR 12 COWORKER 13 BANK 14 EMPLOYER 15 GOVT OR SOC SER 16 OTHER 17 NO ONE 98 DK 99 NA	4403
UPSET1	Label: Help for marital problem #1 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 SPOUSE 2 MOTHER 3 FATHER 4 DAUGHTER 5 SON 6 SISTER 7 BROTHER 8 OTHER RELATIVE 9 CLOSEST FRIEND 10 OTHER FRIEND 11 NEIGHBOR 12 COWORKER 13 CLERGY 14 FAMILY DOCTOR 15 PROF COUNSELOR 16 OTHER 17 NO ONE 98 DK 99 NA	4404
UPSET2	Label: Help for marital problem #2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 SPOUSE 2 MOTHER 3 FATHER 4 DAUGHTER 5 SON 6 SISTER 7 BROTHER 8 OTHER RELATIVE 9 CLOSEST FRIEND 10 OTHER FRIEND 11 NEIGHBOR 12 COWORKER 13 CLERGY 14 FAMILY DOCTOR 15 PROF COUNSELOR 16 OTHER 17 NO ONE 98 DK 99 NA	4405
DOWN1	Label: Help for depression #1 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 SPOUSE 2 MOTHER 3 FATHER 4 DAUGHTER 5 SON 6 SISTER 7 BROTHER 8 OTHER RELATIVE 9 CLOSEST FRIEND 10 OTHER FRIEND 11 NEIGHBOR 12 COWORKER 13 CLERGY 14 FAMILY DOCTOR 15 PROF COUNSELOR 16 OTHER 17 NO ONE 98 DK 99 NA	4406
DOWN2	Label: Help for depression #2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 SPOUSE 2 MOTHER 3 FATHER 4 DAUGHTER 5 SON 6 SISTER 7 BROTHER 8 OTHER RELATIVE 9 CLOSEST FRIEND 10 OTHER FRIEND 11 NEIGHBOR 12 COWORKER 13 CLERGY 14 FAMILY DOCTOR 15 PROF COUNSELOR 16 OTHER 17 NO ONE 98 DK 99 NA	4407
CHANGE1	Label: Help regarding important change #1 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 SPOUSE 2 MOTHER 3 FATHER 4 DAUGHTER 5 SON 6 SISTER 7 BROTHER 8 OTHER RELATIVE 9 CLOSEST FRIEND 10 OTHER FRIEND 11 NEIGHBOR 12 COWORKER 13 CLERGY 14 FAMILY DOCTOR 15 PROF COUNSELOR 16 LAWYER 17 OTHER 18 NO ONE 98 DK 99 NA	4408
CHANGE2	Label: Help regarding important change #2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 SPOUSE 2 MOTHER 3 FATHER 4 DAUGHTER 5 SON 6 SISTER 7 BROTHER 8 OTHER RELATIVE 9 CLOSEST FRIEND 10 OTHER FRIEND 11 NEIGHBOR 12 COWORKER 13 CLERGY 14 FAMILY DOCTOR 15 PROF COUNSELOR 16 LAWYER 17 OTHER 18 NO ONE 98 DK 99 NA	4409
LIVECOM	Label: Length of residence in city, town, comm Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	4410
LIVEHOME	Label: Length at present dwelling Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	4411
MATIME1	Label: How long does it take to get to where mother live Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Less than 2 minutes 2 Less than 15 minutes 3 Between 15 and 30 minutes 4 Between 30 minutes and 1 hour 5 Between 1 and 2 hours 6 Between 2 and 3 hours 7 Between 3 and 5 hours 8 Between 5 and 12 hours 9 Over 12 hours 98 DONT KNOW 99 NO ANSWER	4412
SIBNUM	Label: Number of adult sister or brother Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	4413
SIBMOST	Label: Do R have the most contact with sister or brother Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 With a brother 2 With a sister 3 I have no contact with any adult brother or sister 8 DONT KNOW 9 NO ANSWER	4414
SIBVISIT	Label: How often does R visit this sister or brother Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 He or she lives in the same household as I do 2 Daily 3 At least several times a week 4 At least once a week 5 At least once a month 6 Several times a year 7 Less often 8 DONT KNOW 9 NO ANSWER	4415
SIBCALL	Label: How often does R contact by telephone or letter Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Daily 2 At least several times a week 3 At least once a week 4 At least once a month 5 Several times a year 6 Less often 8 DONT KNOW 9 NO ANSWER	4416
KIDNUM	Label: Number of children age 18 and older Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	4417
KIDMOST	Label: Do R have the most contact with son or daughter Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 With a son 2 With a daughter 3 I have no contact with any adult children 8 DONT KNOW 9 NO ANSWER	4418
KIDVISIT	Label: How often does R visit this son or daughter Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 He or she lives in the same household as I do 2 Daily 3 At least several times a week 4 At least once a week 5 At least once a month 6 Several times a year 7 Less often 8 DONT KNOW 9 NO ANSWER	4419
KIDCALL	Label: How often does R contact by telephone or letter Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Daily 2 At least several times a week 3 At least once a week 4 At least once a month 5 Several times a year 6 Less often 8 DONT KNOW 9 NO ANSWER	4420
PAVISIT1	Label: How often does R visit father Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 He lives in the same household as I do 2 Daily 3 At least several times a week 4 At least once a week 5 At least once a month 6 Several times a year 7 Less often 8 Never 9 My father is no longer alive 10 I DONT KNOW where father lives 99 NO ANSWER	4421
PACALL1	Label: How often does R contact father by telephone Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Daily 2 At least several times a week 3 At least once a week 4 At least once a month 5 Several times a year 6 Less often 7 Never 8 DONT KNOW 9 NO ANSWER	4422
MAVISIT1	Label: How often does R visit mother Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 She lives in the same household as I do 2 Daily 3 At least several times a week 4 At least once a week 5 At least once a month 6 Several times a year 7 Less often 8 Never 9 My mother is no longer alive 10 I DONT KNOW where mother lives 99 NO ANSWER	4423
MACALL1	Label: How often does R contact mother by telephone Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Daily 2 At least several times a week 3 At least once a week 4 At least once a month 5 Several times a year 6 Less often 7 Never 8 DONT KNOW 9 NO ANSWER	4424
UNCAUNTS	Label: How often does R contact uncles or aunts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than twice in last 4 weeks 2 Once or twice in last 4 weeks 3 Not at all in last 4 weeks 4 I have no living relative of this type 8 DONT KNOW 9 NO ANSWER	4425
COUSINS	Label: How often does R contact cousin Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than twice in last 4 weeks 2 Once or twice in last 4 weeks 3 Not at all in last 4 weeks 4 I have no living relative of this type 8 DONT KNOW 9 NO ANSWER	4426
PARSLAW	Label: How often does R contact parents-in-law Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than twice in last 4 weeks 2 Once or twice in last 4 weeks 3 Not at all in last 4 weeks 4 I have no living relative of this type 8 DONT KNOW 9 NO ANSWER	4427
SIBINLAW	Label: How often does R contact brothers or sister's-in-law Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than twice in last 4 weeks 2 Once or twice in last 4 weeks 3 Not at all in last 4 weeks 4 I have no living relative of this type 8 DONT KNOW 9 NO ANSWER	4428
NIECENEP	Label: How often does R contact nieces and nephews Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than twice in last 4 weeks 2 Once or twice in last 4 weeks 3 Not at all in last 4 weeks 4 I have no living relative of this type 8 DONT KNOW 9 NO ANSWER	4429
GODPARTS	Label: How often does R contact god-parents Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than twice in last 4 weeks 2 Once or twice in last 4 weeks 3 Not at all in last 4 weeks 4 I have no living relative of this type 8 DONT KNOW 9 NO ANSWER	4430
COWRKFRD	Label: Number of close friends at work place Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 No close friends at work 96 More than a hundred 98 DONT KNOW 99 NO ANSWER	4431
NEIFRD	Label: Number of close friends who live near R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 No close friends living near R 96 More than a hundred 98 DONT KNOW 99 NO ANSWER	4432
BESTFRD	Label: Number of other close friends Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 a male relative 2 a female relative 3 a man who is not a relative 4 a woman who is not a relative 5 I dont have a close friend 8 DONT KNOW 9 NO ANSWER	4433
BSTVISIT	Label: How often does R visit best friend Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 He or she lives in the same household as I do 2 Daily 3 At least several times a week 4 At least once a week 5 At least once a month 6 Several times a year 7 Less often 8 Never 98 DONT KNOW 99 NO ANSWER	4434
BSTCALL	Label: How often does R call best friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Daily 2 At least several times a week 3 At least once a week 4 At least once a month 5 Several times a year 6 Less often 7 Never 8 DONT KNOW 9 NO ANSWER	4435
GRPPOL	Label: Participated in activity of political party Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group but never participate 4 I do not belong to such a group 8 DONT KNOW 9 NO ANSWER	4436
GRPUNION	Label: Participated in activity of a trade union Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group but never participate 4 I do not belong to such a group 8 DONT KNOW 9 NO ANSWER	4437
GRPCHURH	Label: Participated in activity of church past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group but never participate 4 I do not belong to such a group 8 DONT KNOW 9 NO ANSWER	4438
GRPSPORT	Label: Participated in sports group past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group but never participate 4 I do not belong to such a group 8 DONT KNOW 9 NO ANSWER	4439
GRPCHRTY	Label: Participated in a charitable org past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group but never participate 4 I do not belong to such a group 8 DONT KNOW 9 NO ANSWER	4440
GRPNEI	Label: Participated in a neighbor association past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group but never participate 4 I do not belong to such a group 8 DONT KNOW 9 NO ANSWER	4441
GRPOTH	Label: Participated in other associations past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group but never participate 4 I do not belong to such a group 8 DONT KNOW 9 NO ANSWER	4442
SICK1A	Label: Who does R turn to first for help when sick Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 husband, wife, partner 2 mother 3 father 4 daughter 5 daughter-in-law 6 son 7 son-in-law 8 sister 9 brother 10 other blood relative 11 other in-law relative 12 close friend 13 neighbor 14 someone you work with 15 someone at a social services agency 16 someone you pay to help 17 someone else 18 no one 98 DONT KNOW 99 NO ANSWER	4443
SICK2A	Label: Who does R turn to second for help when sick Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 husband, wife, partner 2 mother 3 father 4 daughter 5 daughter-in-law 6 son 7 son-in-law 8 sister 9 brother 10 other blood relative 11 other in-law relative 12 close friend 13 neighbor 14 someone you work with 15 someone at a social services agency 16 someone you pay to help 17 other 18 no one 98 DONT KNOW 99 NO ANSWER	4444
BORROW1A	Label: Who does R turn to first when large money needed Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 husband, wife, partner 2 mother 3 father 4 daughter 5 son 6 sister 7 brother 8 other blood relative 9 other in-law relative 10 god-parent 11 close friend 12 neighbor 13 someone you work with 14 employer 15 government or social services agency 16 bank or credit union 17 private money lender 18 someone else 19 no one 98 DONT KNOW 99 NO ANSWER	4445
BORROW2A	Label: Who does R turn to second when large money needed Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 husband, wife, partner 2 mother 3 father 4 daughter 5 son 6 sister 7 brother 8 other blood relative 9 other in-law relative 10 god-parent 11 close friend 12 neighbor 13 someone you work with 14 employer 15 government or social services agency 16 bank or credit union 17 private money lender 18 someone else 19 no one 98 DONT KNOW 99 NO ANSWER	4446
DOWN1A	Label: Who does R turn to first for help when depressed Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 husband, wife, partner 2 mother 3 father 4 daughter 5 son 6 sister 7 brother 8 other blood relative 9 other in-law relative 10 close friend 11 neighbor 12 someone you work with 13 priest or member of the clergy 14 family doctor 15 a psychologist or other professional counselor 16 a self-help group 17 someone else 18 no one 98 DONT KNOW 99 NO ANSWER	4447
DOWN2A	Label: Who does R turn to second for help when depressed Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 husband, wife, partner 2 mother 3 father 4 daughter 5 son 6 sister 7 brother 8 other blood relative 9 other in-law relative 10 close friend 11 neighbor 12 someone you work with 13 priest or member of the clergy 14 family doctor 15 a psychologist or other professional counselor 16 a self-help group 17 someone else 18 no one 98 DONT KNOW 99 NO ANSWER	4448
HELPHWRK	Label: Helped someone with hwork during past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least two or three times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	4449
LENTTO	Label: Lent money to another person past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least two or three times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	4450
TALKEDTO	Label: Talked with someone depressed past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least two or three times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	4451
HELPJOB	Label: Helped somebody to find a job past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than once a week 2 Once a week 3 Once a month 4 At least two or three times in the past year 5 Once in the past year 6 Not at all in the past year 8 DONT KNOW 9 NO ANSWER	4452
LEARNJOB	Label: How did R find out about present work Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 I have never worked for pay 2 From parents, brothers or sisters 3 From other relatives 4 From a close friend 5 From an acquaintance 6 From a public employment agency or service 7 From a private employment agency 8 From a school or university placement office 9 From an advertisement or a sign 10 The employer contacted me about a job 11 I just called them or went there to ask for work 98 DONT KNOW 99 NO ANSWER	4453
FRDTHINK	Label: Should close friend be someone intelligent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Extremely important 2 Very important 3 Fairly important 4 Not too important 5 Not at all important 8 DONT KNOW 9 NO ANSWER	4454
FRDHELPS	Label: Should close friend be someone who helps R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Extremely important 2 Very important 3 Fairly important 4 Not too important 5 Not at all important 8 DONT KNOW 9 NO ANSWER	4455
FRDKNOWS	Label: Should close friend be someone who understands R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Extremely important 2 Very important 3 Fairly important 4 Not too important 5 Not at all important 8 DONT KNOW 9 NO ANSWER	4456
FRDENJOY	Label: Should close friend be someone who is enjoyable Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Extremely important 2 Very important 3 Fairly important 4 Not too important 5 Not at all important 8 DONT KNOW 9 NO ANSWER	4457
KIDPARS	Label: Do adult children have duty to look after parent Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 CANT CHOOSE 9 NO ANSWER	4458
FIRSTYOU	Label: Should take care of oneself and ones family first Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 CANT CHOOSE 9 NO ANSWER	4459
HELPFRDS	Label: Should better off ppl help less well-off friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 CANT CHOOSE 9 NO ANSWER	4460
USEFRDS	Label: Ok to have frds just bc they are of use to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 CANT CHOOSE 9 NO ANSWER	4461
AIDKIDS	Label: Govts resp provide childcare Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should be 2 Probably should be 3 Probably should not be 4 Definitely should not be 8 CANT CHOOSE 9 NO ANSWER	4462
OTHFRD	Label: Number of other close friends Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label 0 No other close friends 98 DONT KNOW 99 NO ANSWER	4463
DEMANDS	Label: R feels that family make too many demands on R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 No, never 2 Yes, but seldom 3 Yes, sometimes 4 Yes, often 5 Yes, very often 8 DONT KNOW 9 NO ANSWER	4464
TRUSTPEO	Label: There are only a few ppl R can trust completely Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 CANT CHOOSE 9 NO ANSWER	4465
WANTBEST	Label: R is sure that other ppl want the best for R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 CANT CHOOSE 9 NO ANSWER	4466
ADVANTGE	Label: Other ppl will take advantage of R if not careful Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 CANT CHOOSE 9 NO ANSWER	4467
COMYEAR	Label: How long Has R lived in city where R lives now Format: F4.0 Measure: Scale Display Width: 8 Missing Values: -1; 9998; 9999 Value Label -1 IAP 9998 DK 9999 NA	4468
LOCALGVT	Label: How likely can R do sth for improvmnt in community Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 DONT KNOW 9 NO ANSWER	4469
OPWLTH	Label: Need wealthy family to get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4470
OPPARED	Label: Need educated parents to get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4471
OPEDUC	Label: Need good education to get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4472
OPAMBIT	Label: Need ambition to get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4473
OPABLE	Label: Need natural ability to get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4474
OPHRDWRK	Label: Need to work hard to get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4475
OPKNOW	Label: Need to know right people to get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4476
OPCLOUT	Label: Need political connections to get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4477
OPRACE	Label: Need to be right race to get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4478
OPRELIG	Label: Need to be right religion to get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4479
OPREGION	Label: Must be from right region to get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4480
OPSEX	Label: Need to be right sex to get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4481
OPPOL	Label: Must have certain polviews to get ahead Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4482
GOODLIFE	Label: Standard of living of R will improve Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4483
INCENTIV	Label: Pay differences needed for motivation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ABSOLUTELY NECCESSARY 2 PROBABLY NECCESSARY 3 PROBABLY NOT NECC 4 DEFINITELY NOT NECC 8 CANT CHOOSE 9 NA	4484
INEQUAL1	Label: Extra pay -> people take responsibility Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4485
INEQUAL2	Label: Extra pay -> workers acquire skills Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4486
INEQUAL3	Label: Inequality exists for benefit of rich Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4487
INEQUAL4	Label: Extra pay -> people earn degrees Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4488
INEQUAL5	Label: Pay differences -> American prosperity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4489
INEQUAL6	Label: Everyone benefits from business profits Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4490
INEQUAL7	Label: Inequality due to lack of solidarity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4491
PAYMASON	Label: How much R thinks bricklayer makes Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4492
PAYDOC	Label: How much R thinks doctor makes Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4493
PAYCLERK	Label: How much R thinks bank clerk makes Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4494
PAYOWNER	Label: How much R thinks shop owner makes Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4495
PAYEXEC	Label: How much R thinks corporate head makes Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4496
PAYSKILL	Label: How much R thinks skilled worker makes Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4497
PAYFARM	Label: How much R thinks farm worker makes Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4498
PAYSEC	Label: How much R thinks secretary makes Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4499
PAYBUS	Label: How much R thinks bus driver makes Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4500
PAYUNSKL	Label: How much R thinks unskilled wrkr makes Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4501
PAYCABNT	Label: How much R thinks cabinet member makes Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4502
PAYLAW	Label: How much R thinks lawyeR's make Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4503
PAYSALES	Label: How much R thinks salesclerks make Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4504
PAYFCTRY	Label: How much R thinks owner of a large factory makes Format: F6.0 Measure: Nominal Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4505
PAYJUDGE	Label: How much R thinks supreme court justice makes Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4506
PAYROCC	Label: How much R thinks workers in own occupation make Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4507
GIVMASON	Label: How much ought mason make? Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4508
GIVDOC	Label: How much ought doctor make? Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4509
GIVCLERK	Label: How much ought bank clerk make? Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4510
GIVOWNER	Label: How much ought shop owner make? Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4511
GIVEXEC	Label: How much ought corporate head make? Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4512
GIVSKILL	Label: How much ought skilled worker make? Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4513
GIVFARM	Label: How much ought farm worker make? Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4514
GIVSEC	Label: How much ought secretary make? Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4515
GIVBUS	Label: How much ought bus driver make? Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4516
GIVUNSKL	Label: How much ought unskilled worker make? Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4517
GIVCABNT	Label: How much ought cabinet member make? Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4518
GIVLAW	Label: How much ought lawyer make Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4519
GIVSALES	Label: How much ought salesclerk make Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4520
GIVFCTRY	Label: How much ought owner of a large factory makes Format: F6.0 Measure: Nominal Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4521
GIVJUDGE	Label: How much ought justice make Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4522
GIVROCC	Label: How much ought worker in own occupation make Format: F6.0 Measure: Scale Display Width: 8 Missing Values: -1; 999998; 999999 Value Label -1 IAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA	4523
INCGAP	Label: Income differentials in usa too big Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4524
GOVEQINC	Label: Govmnt should reduce inc differentials Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4525
GOVEDOP	Label: Govmnt should help poor attend college Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4526
GOVJOBS	Label: Govmnt should provide jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4527
GOVLESS	Label: Govmnt should spend less on poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4528
GOVUNEMP	Label: Govmnt should provide unemp benefits Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4529
GOVMINC	Label: Govmnt should provide minimum income Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4530
TAXRICH	Label: Taxes on high income people too high Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH TOO HIGH 2 TOO HIGH 3 ABOUT RIGHT 4 TOO LOW 5 MUCH TOO LOW 8 CANT CHOOSE 9 NA	4531
TAXMID	Label: Taxes on middle income people too high Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH TOO HIGH 2 TOO HIGH 3 ABOUT RIGHT 4 TOO LOW 5 MUCH TOO LOW 8 CANT CHOOSE 9 NA	4532
TAXPOOR	Label: Taxes on low income people too high Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH TOO HIGH 2 TOO HIGH 3 ABOUT RIGHT 4 TOO LOW 5 MUCH TOO LOW 8 CANT CHOOSE 9 NA	4533
TAXSHARE	Label: Should rich pay bigger share of taxes? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH LARGER SHARE 2 LARGER 3 SAME SHARE 4 SMALLER SHARE 5 MUCH LOWER SHARE 8 CANT CHOOSE 9 NA	4534
CONWLTH	Label: Conflict between poor and rich in usa? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY STRONG CONFLICT 2 STRONG CONFLICT 3 NOT STRONG CONFLICT 4 NO CONFLICT 8 CANT CHOOSE 9 NA	4535
CONCLASS	Label: Working and middle classes in conflict? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY STRONG CONFLICT 2 STRONG CONFLICT 3 NOT STRONG CONFLICT 4 NO CONFLICT 8 CANT CHOOSE 9 NA	4536
CONJOBS	Label: Employed and unemployed in conflict Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY STRONG CONFLICT 2 STRONG CONFLICT 3 NOT STRONG CONFLICT 4 NO CONFLICT 8 CANT CHOOSE 9 NA	4537
CONUNION	Label: Workers and management in conflict? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY STRONG CONFLICT 2 STRONG CONFLICT 3 NOT STRONG CONFLICT 4 NO CONFLICT 8 CANT CHOOSE 9 NA	4538
CONURBAN	Label: FarmeR's and city people in conflict? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY STRONG CONFLICT 2 STRONG CONFLICT 3 NOT STRONG CONFLICT 4 NO CONFLICT 8 CANT CHOOSE 9 NA	4539
CONSOC	Label: Conflict between social top and bottom Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY STRONG CONFLICTS 2 STRONG CONFLICTS 3 NOT VERY STRONG CONFLICTS 4 THERE ARE NO CONFLICTS 8 CANT CHOOSE 9 NA	4540
CONAGE	Label: Conflict between young and old Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY STRONG CONFLICTS 2 STRONG CONFLICTS 3 NOT VERY STRONG CONFLICTS 4 THERE ARE NO CONFLICTS 8 CANT CHOOSE 9 NA	4541
OCCMOBIL	Label: Status of job higher than Father's? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH HIGHER THAN DAD 2 HIGHER 3 ABOUT EQUAL 4 LOWER 5 MUCH LOWER THAN DAD 6 R NEVER HAD JOB 7 NO DAD-NEVER HAD JOB 8 DK 9 NA	4542
PAJOB	Label: Type of job held by father when R 16 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 PROF OR TECH 2 HIGHER ADMIN 3 CLERICAL 4 SALES 5 SERVICE 6 SKILLED WORKER 7 SEMI-SKILLED WORKER 8 UNSKILLED WORKER 9 FARM 10 NO DAD-NEVER HAD JOB 98 DK 99 NA	4543
PASLF	Label: Was father self-employed? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 3 NO DAD-NEVER HAD JOB 8 DK 9 NA	4544
FIRSTJOB	Label: Type of first job held by R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 PROF OR TECH 2 HIGHER ADMIN 3 CLERICAL 4 SALES 5 SERVICE 6 SKILLED WORKER 7 SEMI-SKILLED WORKER 8 UNSKILLED WORKER 9 FARM 10 NEVER HAD JOB 98 DK 99 NA	4545
FIRSTSLF	Label: First job self-employment? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 3 NEVER HAD JOB 8 DK 9 NA	4546
LASTJOB	Label: Type of current job held by R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 PROF OR TECH 2 HIGHER ADMIN 3 CLERICAL 4 SALES 5 SERVICE 6 SKILLED WORKER 7 SEMI-SKILLED WORKER 8 UNSKILLED WORKER 9 FARM 10 NEVER HAD JOB 98 DK 99 NA	4547
LASTSLF	Label: Current job self-employment? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 3 NEVER HAD JOB 8 DK 9 NA	4548
REWRDEFF	Label: Effort rewarded in America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4549
REWRDINT	Label: Intelligence and skill rewarded in America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4550
CORRUPT	Label: Must be corrupt to get to top in America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4551
EARNDES	Label: R deserves earnings Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH LESS THAN I DESERVE 2 LESS THAN I DESERVE 3 WHAT I DESERVE 4 MORE THAN I DESERVE 5 MUCH MORE THAN I DESERVE 6 NEVER WORKED 8 CANT CHOOSE 9 NA	4552
LDCGAP	Label: Differences between rich and poor too large Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4553
LDCTAX	Label: Rich countries pay tax to help poor countries Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4554
RICHHLTH	Label: Rich buy better health care than poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY JUST, DEFINITELY RIGHT 2 SOMEWHAT JUST, RIGHT 3 NEITHER JUST NOR UNJUST, MIXED FEELINGS 4 SOMEWHAT UNJUST, WRONG 5 VERY UNJUST, DEFINITELY WRONG 8 CANT CHOOSE 9 NA	4555
RICHEDUC	Label: Rich buy better education than poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY JUST, DEFINITELY RIGHT 2 SOMEWHAT JUST, RIGHT 3 NEITHER JUST NOR UNJUST, MIXED FEELINGS 4 SOMEWHAT UNJUST, WRONG 5 VERY UNJUST, DEFINITELY WRONG 8 CANT CHOOSE 9 NA	4556
PAYRESP	Label: How much pay dependent on responsibility Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AL ALL 8 CANT CHOOSE 9 NA	4557
PAYEDTRN	Label: How much pay dependent on educ and training Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AL ALL 8 CANT CHOOSE 9 NA	4558
PAYSUP	Label: How much pay dependent on supervising others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AL ALL 8 CANT CHOOSE 9 NA	4559
PAYFAM1	Label: How much pay dependent on family to support Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AL ALL 8 CANT CHOOSE 9 NA	4560
PAYCHILD	Label: How much pay dependent on children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AL ALL 8 CANT CHOOSE 9 NA	4561
PAYDOWEL	Label: How much pay dependent on work well done Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AL ALL 8 CANT CHOOSE 9 NA	4562
PAYHARD	Label: How much pay dependent on working hard Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AL ALL 8 CANT CHOOSE 9 NA	4563
JUSTPAY	Label: Is R's pay just Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH LESS THAN IS JUST 2 A LITTLE LESS THAN IS JUST 3 ABOUT JUST FOR ME 4 A LITTLE MORE THAN IS JUST 5 MUCH MORE THAN IS JUST 6 NEVER HAD A JOB 8 CANT CHOOSE 9 NA	4564
SOCTYPE1	Label: What type of society is America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TYPE A 2 TYPE B 3 TYPE C 4 TYPE D 5 TYPE E 8 CANT CHOOSE 9 NA	4565
SOCTYPE2	Label: What type of society Does R prefer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TYPE A 2 TYPE B 3 TYPE C 4 TYPE D 5 TYPE E 8 CANT CHOOSE 9 NA	4566
FAMRNK	Label: Rank in society of R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOP 7 BOTTOM 8 CANT CHOOSE 9 NA	4567
UNSKLRNK	Label: Rank in society of unskilled workers Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOP 7 BOTTOM 8 CANT CHOOSE 9 NA	4568
EXECRNK	Label: Rank in society of chairmen Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TOP 7 BOTTOM 8 CANT CHOOSE 9 NA	4569
PASUP	Label: R's father supervisor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO, DID NOT SUPERVISE 2 YES, SUPERVISED 1 TO 9 PEOPLE 3 YES, SUPERVISED 10 OR MORE 4 DK IF HE SUPERVISED ANYONE 5 I DK WHAT MY FATHER DID-FATHER DEAD 8 DK 9 NA	4570
BOOKS16	Label: Books in home of R age 16 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NONE 2 1 OR 2 3 AROUND 10 4 AROUND 20 5 AROUND 50 6 AROUND 100 7 AROUND 200 8 AROUND 500 9 1,000 OR MORE 98 DK 99 NA	4571
MAWRKWRM	Label: Working mom can have a warm rel w kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4572
KIDSUFFR	Label: Preschooler will suffer if mom works Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4573
FAMSUFFR	Label: Family life suffers if mom works f-t Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4574
HAPIFWRK	Label: Woman and family happier if she works Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4575
HOMEKID	Label: Most women really want a home and kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4576
HOUSEWRK	Label: Being housewife as fulfilling as paid work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4577
FEJOBIND	Label: Job is best way for woman to be indep Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4578
TWOINCS	Label: Husb & wife should contrib to family income Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4579
HUBBYWRK	Label: Husb shld work wife shld look after home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4580
ILIKEJOB	Label: R would enjoy job if money wasn't needed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4581
WRKNOKID	Label: Shld mom work aftr marriage, before kids? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORK FULL-TIME 2 WORK PART-TIME 3 STAY HOME 8 CANT CHOOSE 9 NA	4582
WRKBABY	Label: Shld woman with preschooler work? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORK FULL-TIME 2 WORK PART-TIME 3 STAY HOME 8 CANT CHOOSE 9 NA	4583
WRKSCH	Label: Shld woman work after youngest in school? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORK FULL-TIME 2 WORK PART-TIME 3 STAY HOME 8 CANT CHOOSE 9 NA	4584
WRKGROWN	Label: Shld woman work after kids leave home? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORK FULL-TIME 2 WORK PART-TIME 3 STAY HOME 8 CANT CHOOSE 9 NA	4585
DAYCARE1	Label: Public daycare center ok for kid < 3 yrs? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY SUITABLE 2 SOMEWHAT SUITABLE 3 NOT VERY SUITABLE 4 NOT AT ALL SUITABLE 8 CANT CHOOSE 9 NA	4586
DAYCARE2	Label: Private daycare center ok for kid < 3 yrs? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY SUITABLE 2 SOMEWHAT SUITABLE 3 NOT VERY SUITABLE 4 NOT AT ALL SUITABLE 8 CANT CHOOSE 9 NA	4587
DAYCARE3	Label: Babysitter ok for kid < 3 yrs? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY SUITABLE 2 SOMEWHAT SUITABLE 3 NOT VERY SUITABLE 4 NOT AT ALL SUITABLE 8 CANT CHOOSE 9 NA	4588
DAYCARE4	Label: Friend or neighbor ok for kid < 3 yrs? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY SUITABLE 2 SOMEWHAT SUITABLE 3 NOT VERY SUITABLE 4 NOT AT ALL SUITABLE 8 CANT CHOOSE 9 NA	4589
DAYCARE5	Label: Relative ok for kid < 3yrs? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY SUITABLE 2 SOMEWHAT SUITABLE 3 NOT VERY SUITABLE 4 NOT AT ALL SUITABLE 8 CANT CHOOSE 9 NA	4590
FEMARRY	Label: Way of life recommendation for woman Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIVE ALONE 2 LIVE WITH POSSLQ 3 COHABITATE, THEN MARRY 4 MARRY 8 CANT CHOOSE 9 NA	4591
MEMARRY	Label: Way of life recommendation for man Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIVE ALONE 2 LIVE WITH POSSLQ 3 COHABITATE, THEN MARRY 4 MARRY 8 CANT CHOOSE 9 NA	4592
MARHAPPY	Label: Married people happier than unmarried Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4593
MARFREE	Label: Personal freedom more impt than marriage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4594
MARFIN	Label: Financial security main advtg of marriage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4595
MARKIDS	Label: Main purpose of marriage = kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4596
MARNOMAR	Label: Bad marriage better than none at all Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4597
MARLEGIT	Label: Those wanting kids should get married Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4598
MARMAKID	Label: Single ma can raise kids well as couple Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4599
MARPAKID	Label: Single pa can raise kids well as couple Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4600
MARDIV	Label: Marriage not taken seriously when div is easy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4601
MARHOMO	Label: Homosexuals should have right to marry Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4602
NUMKIDS	Label: What is ideal number of kids for family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 Seven or more 8 DK 9 NA	4603
NOKIDS	Label: Desirability of no-kid family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY DESIRABLE 2 DESIRABLE 3 NEITHER 4 UNDESIRABLE 5 VERY UNDESIRABLE 8 CANT CHOOSE 9 NA	4604
ONEKID	Label: Desirability of one-kid family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY DESIRABLE 2 DESIRABLE 3 NEITHER 4 UNDESIRABLE 5 VERY UNDESIRABLE 8 CANT CHOOSE 9 NA	4605
TWOKIDS	Label: Desirability of two-kid family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY DESIRABLE 2 DESIRABLE 3 NEITHER 4 UNDESIRABLE 5 VERY UNDESIRABLE 8 CANT CHOOSE 9 NA	4606
THREKIDS	Label: Desirability of three-kid family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY DESIRABLE 2 DESIRABLE 3 NEITHER 4 UNDESIRABLE 5 VERY UNDESIRABLE 8 CANT CHOOSE 9 NA	4607
FOURKIDS	Label: Desirability of 4+ kid family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY DESIRABLE 2 DESIRABLE 3 NEITHER 4 UNDESIRABLE 5 VERY UNDESIRABLE 8 CANT CHOOSE 9 NA	4608
KIDTRBLE	Label: Kids more trouble than they are worth Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4609
KIDJOY	Label: Kids are life's greatest joy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4610
KIDNOFRE	Label: Kids interfere with parents' freedom Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4611
KIDLESS	Label: Kidless marriage is incomplete Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4612
KIDFIN	Label: Better not to have kids due to $ burden Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4613
KIDEMPTY	Label: Kidless people lead empty lives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4614
DIVNOW	Label: How easy is it to get a divorce today Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY EASY 2 FAIRLY EASY 3 NEITHER 4 FAIRLY DIFFICULT 5 VERY DIFFICULT 8 CANT CHOOSE 9 NA	4615
DIVNOKID	Label: How easy should divorce be for kidless Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY EASY 2 FAIRLY EASY 3 NEITHER 4 FAIRLY DIFFICULT 5 VERY DIFFICULT 8 CANT CHOOSE 9 NA	4616
DIVIFKID	Label: How easy should divorce be if kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY EASY 2 FAIRLY EASY 3 NEITHER 4 FAIRLY DIFFICULT 5 VERY DIFFICULT 8 CANT CHOOSE 9 NA	4617
DIVKIDS	Label: Kids better if bad marrge ended by div Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER TO DIV 2 BETTER TO DIVORCE 3 WORSE TO DIVORCE 4 MUCH WORSE TO DIV 8 CANT CHOOSE 9 NA	4618
DIVWIFE	Label: Wife better if bad marrge ended by div Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER TO DIV 2 BETTER TO DIVORCE 3 WORSE TO DIVORCE 4 MUCH WORSE TO DIV 8 CANT CHOOSE 9 NA	4619
DIVHUBBY	Label: Husb better if bad marrge ended by div Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER TO DIV 2 BETTER TO DIVORCE 3 WORSE TO DIVORCE 4 MUCH WORSE TO DIV 8 CANT CHOOSE 9 NA	4620
MAWORK14	Label: Did mom work before R was 14 yrs old Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 DIDNT LIVE WITH MOM 8 DK 9 NA	4621
EVDIV	Label: Has R ever been divorced Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 3 NEVER MARRIED 9 NA	4622
SPEVDIV	Label: Has R's current spouse been divorced Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 NOT MARRIED 8 DK 9 NA	4623
COHABIT	Label: Did R live with spouse before marriage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 YES 2 NO 9 NA	4624
RWRKNOKD	Label: Did R work aftr marrge but before kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, FULL-TIME 2 YES,PART-TIME 3 NO 8 DOESNT APPLY 9 NA	4625
RWRKBABY	Label: Did R work when kid was preschooler Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, FULL-TIME 2 YES,PART-TIME 3 NO 8 DOESNT APPLY 9 NA	4626
RWRKSCH	Label: Did R work after youngest in school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, FULL-TIME 2 YES,PART-TIME 3 NO 8 DOESNT APPLY 9 NA	4627
RWRKGRWN	Label: Did R work after kids left home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, FULL-TIME 2 YES,PART-TIME 3 NO 8 DOESNT APPLY 9 NA	4628
EARNSMOR	Label: Hubby or wife earns more $ Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HUSBAND, MUCH MORE 2 HUSBAND, BIT MORE 3 SAME FOR BOTH 4 WIFE, BIT MORE 5 WIFE, MUCH MORE 8 DK 9 NA	4629
FEWRKSUP	Label: Do most women work to support family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CAN'T CHOOSE 9 NA	4630
HUBBYWK1	Label: Men should earn money women keep house Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 Cannot choose 9 NO ANSWER	4631
MRMOM	Label: Gender role reversal hurts family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CAN'T CHOOSE 9 NA	4632
MEOVRWRK	Label: Men hurt family when focus on work too much Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CAN'T CHOOSE 9 NA	4633
SINGLPAR	Label: Single parents can raise kids as well as two Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CAN'T CHOOSE 9 NA	4634
COHABOK	Label: Living together as an acceptable option Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CAN'T CHOOSE 9 NA	4635
COHABFST	Label: People should live together before marriage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CAN'T CHOOSE 9 NA	4636
DIVBEST	Label: Divorce as best solution to marital problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CAN'T CHOOSE 9 NA	4637
DIVIFKD1	Label: Should feuding parents stay together for kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CAN'T CHOOSE 9 NA	4638
DIVNOKD1	Label: Childless couples stay married even with problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CAN'T CHOOSE 9 NA	4639
LIVNOWED	Label: Did R live with partner before marriage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, WITH A PREVIOUS PARTNER 2 YES, WITH MY PRESENT PARTNER 3 YES, WITH PREVIOUS AND PRESENT PARTNER 4 NO, NEVER 8 DK 9 NA	4640
MAPAID	Label: Should working women have paid maternity leave Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CAN'T CHOOSE 9 NA	4641
CHLDCARE	Label: Should families get benefits if both parents work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CAN'T CHOOSE 9 NA	4642
ABCHOOSE	Label: Should a woman get an abortion for any reason Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CAN'T CHOOSE 9 NA	4643
TEENSEX1	Label: Morality of teens having sex Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS WRONG 2 ALMOST ALWAYS WRONG 3 WRONG ONLY SOMETIMES 4 NOT WRONG AT ALL 8 CAN'T CHOOSE 9 NA	4644
SEXHAR	Label: R experienced sexual harassment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 NEVER HAVE WORKED 8 DK 9 NA	4645
FAMBUDGT	Label: How couples monitor budget Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I MANAGE, GIVE PRTNR SHARE 2 PRNTNR MANAGES, GIVES ME SHARE 3 POOL ALL MONEY, TAKE OUT WHAT WE NEED 4 POOL SOME MONEY, KEEP SOME SEPARATE 5 KEEP MONEY SEPARATE 6 NOT MARRIED 8 DK 9 NA	4646
LAUNDRY	Label: Who in household does laundry Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS THE WOMAN 2 USUALLY THE WOMAN 3 ABOUT EQUAL OR BOTH TOGETHER 4 USUALLY THE MAN 5 ALWAYS THE MAN 6 IS DONE BY A THIRD PERSON 7 NOT MARRIED 8 CAN'T CHOOSE 9 NA	4647
REPAIRS	Label: Who in household does small repaiR's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS THE WOMAN 2 USUALLY THE WOMAN 3 ABOUT EQUAL OR BOTH TOGETHER 4 USUALLY THE MAN 5 ALWAYS THE MAN 6 IS DONE BY A THIRD PERSON 7 NOT MARRIED 8 CAN'T CHOOSE 9 NA	4648
CARESICK	Label: Who in household cares for sick in family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS THE WOMAN 2 USUALLY THE WOMAN 3 ABOUT EQUAL OR BOTH TOGETHER 4 USUALLY THE MAN 5 ALWAYS THE MAN 6 IS DONE BY A THIRD PERSON 7 NOT MARRIED 8 CAN'T CHOOSE 9 NA	4649
SHOPFOOD	Label: Who in household shops for groceries Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS THE WOMAN 2 USUALLY THE WOMAN 3 ABOUT EQUAL OR BOTH TOGETHER 4 USUALLY THE MAN 5 ALWAYS THE MAN 6 IS DONE BY A THIRD PERSON 7 NOT MARRIED 8 CAN'T CHOOSE 9 NA	4650
DINNER	Label: Who in household plans meals Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS THE WOMAN 2 USUALLY THE WOMAN 3 ABOUT EQUAL OR BOTH TOGETHER 4 USUALLY THE MAN 5 ALWAYS THE MAN 6 IS DONE BY A THIRD PERSON 7 NOT MARRIED 8 CAN'T CHOOSE 9 NA	4651
SPWKNOKD	Label: Did spouse work after marriage before kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORKED FULL-TIME 2 WORKED PART-TIME 3 STAYED HOME 8 DOES NOT APPLY 9 NA	4652
SPWKBABY	Label: Did spouse work with young children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORKED FULL-TIME 2 WORKED PART-TIME 3 STAYED HOME 8 DOES NOT APPLY 9 NA	4653
SPWRKSCH	Label: Did spouse work with school age children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORKED FULL-TIME 2 WORKED PART-TIME 3 STAYED HOME 8 DOES NOT APPLY 9 NA	4654
SPWKGRWN	Label: Did spouse work after children left home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORKED FULL-TIME 2 WORKED PART-TIME 3 STAYED HOME 8 DOES NOT APPLY 9 NA	4655
MEHHWORK	Label: Men ought to do more hh work than they do now Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 Cannot choose 9 NO ANSWER	4656
MEKDCARE	Label: Men ought to do more childcare than they do now Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 Cannot choose 9 NO ANSWER	4657
LAUNDRY1	Label: Who in household does laundry Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always me 2 Usually me 3 About Equal or Both Together 4 Usually my spouse or partner 5 Always my spouse 6 Is done by a Third Person 8 Cannot choose 9 NO ANSWER	4658
REPAIRS1	Label: Who in household does small repairs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always me 2 Usually me 3 About Equal or Both Together 4 Usually my spouse or partner 5 Always my spouse 6 Is done by a Third Person 8 Cannot choose 9 NO ANSWER	4659
CARESIK1	Label: Who in household cares for sick in family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always me 2 Usually me 3 About Equal or Both Together 4 Usually my spouse or partner 5 Always my spouse 6 Is done by a Third Person 8 Cannot choose 9 NO ANSWER	4660
SHOP1	Label: Who in household shops for groceries Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always me 2 Usually me 3 About Equal or Both Together 4 Usually my spouse or partner 5 Always my spouse 6 Is done by a Third Person 8 Cannot choose 9 NO ANSWER	4661
CLEAN1	Label: Who in household does cleaning Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always me 2 Usually me 3 About Equal or Both Together 4 Usually my spouse or partner 5 Always my spouse 6 Is done by a Third Person 8 Cannot choose 9 NO ANSWER	4662
COOKING1	Label: Who in household prepares the meals Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always me 2 Usually me 3 About Equal or Both Together 4 Usually my spouse or partner 5 Always my spouse 6 Is done by a Third Person 8 Cannot choose 9 NO ANSWER	4663
RHHWORK	Label: How many hours a week does R spend on hh work Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or more 98 DONT KNOW 99 NO ANSWER	4664
SPHHWORK	Label: How many hours a week does spouse on hh wrk Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NO ANSWER	4665
HHWKFAIR	Label: Sharing of hh work between R and spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I do much more than my fair share of hh work 2 I do a bit more than my fair share of hh work 3 I do roughly my fair share of hh work 4 I do a bit less than my fair share of hh work 5 I do much less than my fair share of hh work 8 DONT KNOW 9 NO ANSWER	4666
HHWKDIS	Label: How often R and spouse disagree sharing of hh wrk Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Several times a week 2 Several times a month 3 Several times a year 4 Less often or rarely 5 Never 8 Cannot choose 9 NO ANSWER	4667
DECKIDS	Label: Who makes decision about how to bring up children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Mostly me 2 Mostly my spouse 3 Sometimes me or sometimes my spouse 4 We decide together 5 Someone else 8 Does not apply 9 NO ANSWER	4668
SPBORN	Label: When was your spouse born Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 9998 Don't know 9999 No answer	4669
WEEKEND	Label: Who has final say about choosing weekend activity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Mostly me 2 Mostly my spouse 3 Sometimes me or sometimes my spouse 4 We decide together 5 Someone else 8 DONT KNOW 9 NO ANSWER	4670
BUYTHNGS	Label: Who has final say about buying things for home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Mostly me 2 Mostly my spouse 3 Sometimes me or sometimes my spouse 4 We decide together 5 Someone else 8 DONT KNOW 9 NO ANSWER	4671
TIMEHOME	Label: Run out of time before getting things done at home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 Cannot choose 9 NO ANSWER	4672
STRSSHME	Label: Life at home is rarely stressful Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 Cannot choose 9 NO ANSWER	4673
TIMEWORK	Label: Run out of time before getting things done at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 Cannot choose 9 NO ANSWER	4674
STRSSWRK	Label: Job Is Rarely stressful Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Strongly Disagree 8 Cannot choose 9 NO ANSWER	4675
TIREDHME	Label: Come home from work too tired to do the chores Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Several times a week 2 Several times a month 3 Once or twice 4 Never 6 Doesnt apply or no job 8 DONT KNOW 9 NO ANSWER	4676
JOBVSFAM	Label: Difficult to fulfill fam responsibility bc of job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Several times a week 2 Several times a month 3 Once or twice 4 Never 6 Doesnt apply or no job 8 DONT KNOW 9 NO ANSWER	4677
TIREDWRK	Label: Arrived at work too tired to function bc of hhwork Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Several times a week 2 Several times a month 3 Once or twice 4 Never 6 Doesnt apply or no job 8 DONT KNOW 9 NO ANSWER	4678
FAMVSWRK	Label: Difficult to concentrate wrk bc of fam responsibility Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Several times a week 2 Several times a month 3 Once or twice 4 Never 6 Doesnt apply or no job 8 DONT KNOW 9 NO ANSWER	4679
HAPPY7	Label: How happy R is Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Completely happy 2 Very happy 3 Fairly happy 4 Neither happy nor unhappy 5 Fairly unhappy 6 Very unhappy 7 Completely unhappy 8 Cannot choose 9 NO ANSWER	4680
SATJOB7	Label: Job satisfaction in general Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Completely satisfied 2 Very satisfied 3 Fairly satisfied 4 Neither satisfied nor dissatisfied 5 Fairly dissatisfied 6 Very dissatisfied 7 Completely dissatisfied 8 Cannot choose 9 NO ANSWER	4681
SATFAM7	Label: Family satisfaction in general Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Completely satisfied 2 Very satisfied 3 Fairly satisfied 4 Neither satisfied nor dissatisfied 5 Fairly dissatisfied 6 Very dissatisfied 7 Completely dissatisfied 8 Cannot choose 9 NO ANSWER	4682
FEWKNOKD	Label: Women should work outside when no kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Work full-time 2 Work part-time 3 Stay at home 8 Cannot choose 9 NO ANSWER	4683
TWOINCS1	Label: Both men and women should contribute to income Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly Agree 2 Agree 3 Neither Agree nor Disagree 4 Disgree 5 Strongly Disagree 8 Cannot choose 9 NO ANSWER	4684
EARNSHH	Label: Hubby or wife earns more dollars Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Spouse has no income 2 I have much higher income 3 I have higher income 4 We have about the same income 5 Spouse has a higher income 6 Spouse partner has much higher income 7 I have no income 8 DONT KNOW 9 NO ANSWER	4685
SSFCHILD	Label: Same sex female couple raise child as well as male-female couple Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree or disagree 4 Disagree 5 Strongly disagree 8 DON'T KNOW 9 No answer	4686
SSMCHILD	Label: Same sex male couple raise child as well as male-female couple Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree or disagree 4 Disagree 5 Strongly disagree 8 DON'T KNOW 9 No answer	4687
KIDFINBU	Label: Children are financial burden on parents Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree or disagree 4 Disagree 5 Strongly disagree 8 DON'T KNOW 9 No answer	4688
KIDJOB	Label: Children limit emp and career opp for one or both parents Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree or disagree 4 Disagree 5 Strongly disagree 8 DON'T KNOW 9 No answer	4689
KIDSOCST	Label: Having children increases social standing in society Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree or disagree 4 Disagree 5 Strongly disagree 8 DON'T KNOW 9 No answer	4690
ELDERSUP	Label: Adult children are imp to help elderly parents Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree or disagree 4 Disagree 5 Strongly disagree 8 DON'T KNOW 9 No answer	4691
PAIDLV	Label: Paid leave for childcare Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, enter months 2 No, there should be no paid leave 8 DON'T KNOW 9 No answer	4692
PAIDLV1	Label: Months of leave that should be available Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 98 DK 99 NA	4693
PAIDLVPY	Label: Who pays for leave Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 The government 2 The employer 3 Both government and the employer 4 Other sources 8 DON'T KNOW 9 No answer	4694
PAIDLVDV	Label: Mother or father paid leave Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 The mother should take the entire paid leave period and the father should not take any paid leave 2 The mother should take most of the paid leave period and the father should take some of it 3 The mother and the father should each take half of the paid leave period 4 The father should take most of the paid leave period and the mother should take some of it 5 The father should take the entire paid leave period and the mother should not take any paid leave 8 DON'T KNOW 9 No answer	4695
FAMWKBST	Label: Best way to org family work life with under school age child Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 The mother stays at home and the father works full-time 2 The mother works part-time and the father works full-time 3 Both the mother and father work full-time 4 Both the mother and father work part-time 5 The father works part-time and the mother works full-time 6 The father stays at home and the mother works full-time 8 DON'T KNOW 9 No answer	4696
FAMWKLST	Label: WoR'st way to org family work life with under school age child Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 The mother stays at home and the father works full-time 2 The mother works part-time and the father works full-time 3 Both the mother and father work full-time 4 Both the mother and father work part-time 5 The father works part-time and the mother works full-time 6 The father stays at home and the mother works full-time 8 DON'T KNOW 9 No answer	4697
CAREPROV	Label: Who should provide childcare for under school age child Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Family members 2 Government agencies 3 Non-profit organizations (e.g., charitable organizations, churches/religious organizations) 4 Private childcare providers (e.g., private day care center, nanny, babysitter) 5 Employers 8 DON'T KNOW 9 No answer	4698
CARECOST	Label: Who should pay for costs of care for under school age child Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 The family 2 The government/public funds 3 The employers 8 DON'T KNOW 9 No answer	4699
ELDHELP	Label: Who should provide help for elderly Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Family members 2 Government agencies 3 Non-profit organizations (e.g., charitable organizations, churches/religious organizations) 4 Private providers of this kind of help 8 DON'T KNOW 9 No answer	4700
ELDCOST	Label: Who should pay for help for elderly Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 The elderly people themselves or their family 2 The government/public funds 8 DON'T KNOW 9 No answer	4701
HHCLEAN1	Label: Who does household cleaning Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always me 2 Usually me 3 About equal or both together 4 Usually my {#spousepartfill} 5 Always my {#spousepartfill} 6 Is done by a third person 8 DON'T KNOW 9 No answer	4702
WKNDACT	Label: Who decides weekend activities Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Mostly me 2 Mostly my {#spousepartfill} 3 Sometimes me/sometimes my {#spousepartfill} 4 We decide together 5 Someone else 8 DON'T KNOW 9 No answer	4703
TIREDHM1	Label: How often too tired to do housework Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 Doesn’t apply/no job 1 Several times a week 2 Several times a month 3 Once or twice 4 Never 8 DON'T KNOW 9 No answer	4704
JOBVSFA1	Label: How often jobtakes too much time to fulfill family resp Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 Doesn’t apply/no job 1 Several times a week 2 Several times a month 3 Once or twice 4 Never 8 DON'T KNOW 9 No answer	4705
TIREDWK1	Label: How often too tired from housework to do job well Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 Doesn’t apply/no job 1 Several times a week 2 Several times a month 3 Once or twice 4 Never 8 DON'T KNOW 9 No answer	4706
FAMVSWK1	Label: How often difficult to conc at work because family resp Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 Doesn’t apply/no job 1 Several times a week 2 Several times a month 3 Once or twice 4 Never 8 DON'T KNOW 9 No answer	4707
WKKIDSCL	Label: Did R work outside home with child under school age Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Worked full-time 2 Worked part-time 3 Stayed at home 8 DON'T KNOW 9 No answer	4708
WKYNGSCL	Label: Did R work outside home after child started school Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Worked full-time 2 Worked part-time 3 Stayed at home 8 DON'T KNOW 9 No answer	4709
WKKIDSCS	Label: Did partner work outside home with child under school age Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Worked full-time 2 Worked part-time 3 Stayed at home 8 DON'T KNOW 9 No answer	4710
WKYNGSCS	Label: Did partner work outside home after child started school Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Worked full-time 2 Worked part-time 3 Stayed at home 8 DON'T KNOW 9 No answer	4711
RFAMLOOK	Label: Hours R spends looking after family members Format: F4.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 1 1 hour 97 97 hours or more 98 DK 99 NA	4712
SPFALOOK	Label: Hours spouse spends looking after family members Format: F4.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 1 1 hour 97 97 hours or more 98 DK 99 NA	4713
SPLIVE	Label: How long been living with spouse Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 1 1 year 98 DK 99 NA	4714
TIMEPDWK	Label: Time R would spend on paid work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 SPEND MUCH MORE 2 SPEND A BIT MORE 3 SPEND SAME 4 SPEND A BIT LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4715
TIMEHHWK	Label: Time R would spend on household work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 SPEND MUCH MORE 2 SPEND A BIT MORE 3 SPEND SAME 4 SPEND A BIT LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4716
TIMEFAM	Label: Time R would spend on family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 SPEND MUCH MORE 2 SPEND A BIT MORE 3 SPEND SAME 4 SPEND A BIT LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4717
TIMEFRND	Label: Time R would spend on friends Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 SPEND MUCH MORE 2 SPEND A BIT MORE 3 SPEND SAME 4 SPEND A BIT LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4718
TIMELEIS	Label: Time R would spend on leisure Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 SPEND MUCH MORE 2 SPEND A BIT MORE 3 SPEND SAME 4 SPEND A BIT LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4719
TIMERELX	Label: Time R would spend relaxing Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 SPEND MUCH MORE 2 SPEND A BIT MORE 3 SPEND SAME 4 SPEND A BIT LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	4720
WRKEARN	Label: Job is just a way to earn money Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4721
WRKENJOY	Label: Enjoy job even if $ not needed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4722
WRKIMP	Label: Work is persons most impt. activity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4723
HWDUTIES	Label: Is R mainly respons.for hh chores? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 YES I RESPONSIBLE 2 YES ME AND OTHER 3 NO SOMEONE ELSE 8 DONT KNOW 9 NA	4724
YRSFIRM	Label: Importance of tenure to pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4725
DOWELL	Label: Importance of performance to pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4726
EXPERNC	Label: Importance of experience to pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4727
PAYSAME	Label: Importance of standard rates to pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4728
AGEEMP	Label: Importance of age to pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4729
SEXEMP	Label: Importance of gender to pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4730
FAMRESP	Label: Importance of family resps. to pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4731
EDUCEMP	Label: Importance of educ & qualif. to pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4732
DK	Label: Don't know response to pay items Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 DK CHOSEN 2 NOT CHOSEN 9 NA	4733
BOSSWRKS	Label: Management & workers always in conflict Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4734
STRNGUN	Label: Strong unions needed to protect workers Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4735
SECJOB	Label: Importance of job security in a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 VERY IMPT 2 IMPT 3 NEITHER 4 NOT IMPT 5 NOT IMPT AT ALL 8 CANT CHOOSE 9 NA	4736
HIINC	Label: Importance of high pr income in a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 VERY IMPT 2 IMPT 3 NEITHER 4 NOT IMPT 5 NOT IMPT AT ALL 8 CANT CHOOSE 9 NA	4737
PROMOTN	Label: Importance of advancement in a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 VERY IMPT 2 IMPT 3 NEITHER 4 NOT IMPT 5 NOT IMPT AT ALL 8 CANT CHOOSE 9 NA	4738
LEISURE	Label: Importance of leisure time in a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 VERY IMPT 2 IMPT 3 NEITHER 4 NOT IMPT 5 NOT IMPT AT ALL 8 CANT CHOOSE 9 NA	4739
INTJOB	Label: Importance of interesting work in a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 VERY IMPT 2 IMPT 3 NEITHER 4 NOT IMPT 5 NOT IMPT AT ALL 8 CANT CHOOSE 9 NA	4740
WRKINDP	Label: Importance of independent work in a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 VERY IMPT 2 IMPT 3 NEITHER 4 NOT IMPT 5 NOT IMPT AT ALL 8 CANT CHOOSE 9 NA	4741
HLPOTHS	Label: Importance of helping others in a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 VERY IMPT 2 IMPT 3 NEITHER 4 NOT IMPT 5 NOT IMPT AT ALL 8 CANT CHOOSE 9 NA	4742
HLPSOC	Label: Importance of social usefulness in a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 VERY IMPT 2 IMPT 3 NEITHER 4 NOT IMPT 5 NOT IMPT AT ALL 8 CANT CHOOSE 9 NA	4743
FLEXHRS	Label: Importance of flexible hrs. in a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 VERY IMPT 2 IMPT 3 NEITHER 4 NOT IMPT 5 NOT IMPT AT ALL 8 CANT CHOOSE 9 NA	4744
FLEXHRS1	Label: Importance of flexible hrs. at work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very important 2 Important 3 Neither important nor unimportant 4 Not important 5 Not important at all 8 DK 9 NA	4745
WKPERSNL	Label: Importance of Personal contact at work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very important 2 Important 3 Neither important nor unimportant 4 Not important 5 Not important at all 8 DK 9 NA	4746
FAMORJOB	Label: Would you sacrifice job opportunities for family Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, I have done so and probably would do so again 2 Yes, I have done so but probably would not do so again 3 No, I have not done so but probably would do so 4 No, I have not done so and probably would not do so 8 DK 9 NA	4747
JOBORFAM	Label: Would you remain in unsatisfying job for family Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, I have done so and probably would do so again 2 Yes, I have done so but probably would not do so again 3 No, I have not done so but probably would do so 4 No, I have not done so and probably would not do so 8 DK 9 NA	4748
DISCWK5	Label: Discrimination at work in past 5 yrs Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 3 Did not work or did not seek work 8 DK 9 NA	4749
WHYDISC5	Label: Why were you discriminated against Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 My age 2 My race, ethnicity 3 My nationality 4 My sex 5 My religion 6 My disability/mental or physical illness 7 My family responsibilities 8 My political beliefs 9 Other reason 98 DK 99 NA	4750
HARASS5	Label: Harassment at work in past 5 yrs Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 3 Does not apply (I do not have a job/superior/co-worker) 8 DK 9 NA	4751
UNIONSBD	Label: Strong trade unions are bad for us economy Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DK 9 NA	4752
RCONTACT	Label: Do you have Personal contact at work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DK 9 NA	4753
WKATHOME	Label: How often do you work from home Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always 2 Often 3 Sometimes 4 Hardly ever 5 Never 8 DK 9 NA	4754
WKWKENDS	Label: Do you work weekends Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always 2 Often 3 Sometimes 4 Hardly ever 5 Never 8 DK 9 NA	4755
DECIDWRK	Label: How are your working hours decided Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Starting and finishing times are decided by my employer and I cannot change them on my own 2 I have a schedule or shift which regularly changes (for example, from days to evenings or to nights) 3 I have a schedule where daily working times are decided at short notice by my employer 4 4. Hardly ever, or 5 5. Never? 8 DK 9 NA	4756
WRKSHIFT	Label: What is your working schedule Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I have a regular schedule or shift (daytime, evening, or night) 2 I have a schedule or shift which regularly changes (for example, from days to evenings or to nights) 3 I have a schedule where daily working times are decided at short notice by my employer 8 DK 9 NA	4757
CHNGEWRK	Label: I would change my work for something different Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DK 9 NA	4758
NOUNEMP5	Label: I would move within the usa for work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DK 9 NA	4759
NOUNEMP6	Label: I would move outside the usa for work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DK 9 NA	4760
EXTRAWRK	Label: Did you work multiple jobs in past yr Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, during all of that period 2 Yes, during most of that period 3 Yes, during some of that period 4 No 8 DK 9 NA	4761
EXTRAERN	Label: How much earned from additional jobs in past yr Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Much less than from main job 2 Less than from main job 3 About the same as from main job 4 More than from main job 5 Much more than from main job 8 DK 9 NA	4762
JBENDYR	Label: Year last paid job ended Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 8 DON'T KNOW 9 REFUSED 9998 DK 9999 NA	4763
JBENDMO	Label: Month last paid job ended Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label -3 NO ANSWER -2 DON'T KNOW -1 REFUSED 0 IAP 1 January 2 February 3 March 4 April 5 May 6 June 7 July 8 August 9 September 10 October 11 November 12 December 98 DK 99 NA	4764
EXJOBSAT	Label: Satisfaction with past job Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Completely satisfied 2 Very satisfied 3 Fairly satisfied 4 Neither satisfied nor dissatisfied 5 Fairly dissatisfied 6 Very dissatisfied 7 Completely dissatisfied 98 DK 99 NA	4765
WORNOJOB	Label: Do you worry about not finding job Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I worry a great deal 2 I worry to some extent 3 I worry a little 4 I don’t worry at all 8 DK 9 NA	4766
NEWSKILL	Label: I would accept job that requires new skills Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DK 9 NA	4767
LOWPAY	Label: I would accept job for lower pay Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DK 9 NA	4768
TEMPWORK	Label: I would accept temporary employment Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DK 9 NA	4769
MORTRAVL	Label: I would accept a longer commute Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DK 9 NA	4770
MOVEINUS	Label: I would move within the usa for work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DK 9 NA	4771
MOVEAWAY	Label: I would move outside the usa for work Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DK 9 NA	4772
ECONSUP1	Label: Main source of economic support Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Current spouse/partner 2 Other family members 3 Pension (private or government) 4 Unemployment benefits 5 Social assistance/welfare 6 Occasional work 7 Student loans/stipends 8 Savings 9 Investments or rental income 10 Other 98 DK 99 NA	4773
WORECSUP	Label: Do you worry about losing economic support Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I worry a great deal 2 I worry to some extent 3 I worry a little 4 I don’t worry at all 8 DK 9 NA	4774
UNPEOPLE	Label: Rank of no people contact when unemployed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 WORST 2 2ND WORST 3 3RD WORST 4 NOT CHOSEN 8 DK 9 NA	4775
UNMONEY	Label: Rank of shortage of money when unemployed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 WORST 2 2ND WORST 3 3RD WORST 4 NOT CHOSEN 8 DK 9 NA	4776
UNSLFCON	Label: Rank of loss of confide. when unemployed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 WORST 2 2ND WORST 3 3RD WORST 4 NOT CHOSEN 8 DK 9 NA	4777
UNRESPCT	Label: Rank of loss of respect when unemployed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 WORST 2 2ND WORST 3 3RD WORST 4 NOT CHOSEN 8 DK 9 NA	4778
UNFAMTEN	Label: Rank of family tensions when unemployed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 WORST 2 2ND WORST 3 3RD WORST 4 NOT CHOSEN 8 DK 9 NA	4779
UNJOBEXP	Label: Rank of how to spend time when unemployed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 WORST 2 2ND WORST 3 3RD WORST 4 NOT CHOSEN 8 DK 9 NA	4780
UNBORED	Label: Rank of boredom when unemployed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 WORST 2 2ND WORST 3 3RD WORST 4 NOT CHOSEN 8 DK 9 NA	4781
UNDK	Label: Don't know response to unemployment items Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 DK CHOSEN 2 NOT CHOSEN 8 DONT KNOW 9 NA	4782
EMPSELF	Label: Does R prefer self-employment or not ? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 EMPLOYEE 2 SELF-EMPLOY 8 CANT CHOOSE 9 NA	4783
SMALLBIG	Label: R preference re: firm size in Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 SMALL 2 BIG 8 CANT CHOOSE 9 NA	4784
INDUSOTH	Label: R preference re: manufacture service, etc Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MANUFACTURE 2 OFFICE, SALES, ETC 8 CANT CHOOSE 9 NA	4785
PRIVGOVT	Label: R preference re: private public sector Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 PRIVATE FIRM 2 GOVT 8 CANT CHOOSE 9 NA	4786
WORKWEEK	Label: Does R work at least 10 hrs/wk Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 YES 2 NO 3 NOT WORKING 9 NA	4787
WANTJOB	Label: Would R like a job now Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NOISSP 1 WANT FULL 2 WANT PART 3 WANT LT 10 HRS 4 DONT WANT 8 DONT WANT 9 NA	4788
FINDJOB	Label: Could R find a job <unemployed R's> Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 VERY EASY 2 FAIRLY EASY 3 NEITHER 4 FAIRLY DIFFICULT 5 VERY DIFFICULT 8 CANT CHOOSE 9 NA	4789
IWRKHARD	Label: How hard Does R work at job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 ONLY MINIMUM 2 NOT TO INTERFERE 3 REAL HARD 8 CANT CHOOSE 9 NA	4790
HRSMONEY	Label: R preference re: work hrs and money Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MORE HRS & MONEY 2 SAME AND SAME 3 FEWER AND LESS 8 CANT CHOOSE 9 NA	4791
RYRSFIRM	Label: Importance of tenure Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4792
RDOWELL	Label: Importance of performance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4793
RPAYSAME	Label: Importance of standard rates Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4794
REXPERNC	Label: Importance of experience Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4795
RAGEEMP	Label: Importance of age Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4796
RFAMRESP	Label: Importance of family resps. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4797
REDUCEMP	Label: Importance of educ. & formal qual. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 MOST IMPT 2 2ND MOST IMPT 3 3RD MOST IMPT 4 NOT CHOSEN 8 DK 9 NA	4798
RDK	Label: Don't know response to unemployment items Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 DK CHOSEN 2 NOT CHOSEN 8 DONT KNOW 9 NA	4799
RSECJOB	Label: R's job is secure Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4800
RHIINC	Label: R's income is high Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4801
RPROMOTN	Label: R has opportunity to advance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4802
RLEISURE	Label: R's job leaves much leisure time Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4803
RINTJOB	Label: R's job is interesting Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4804
RWRKINDP	Label: R can work independently Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4805
RHLPOTHS	Label: R helps others in job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4806
RHLPSOC	Label: R's job is useful to society Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4807
RFLEXHRS	Label: R's job has flexible hrs. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	4808
XHAUSTN	Label: How often does work exhaust r Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 HARDLY EVER 5 NEVER 8 CANT CHOOSE 9 NA	4809
PHYSWRK	Label: How often must R do physical work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 HARDLY EVER 5 NEVER 8 CANT CHOOSE 9 NA	4810
STRESS	Label: How often Does R find work stressful Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 HARDLY EVER 5 NEVER 8 Can't choose/Don't know 9 NA	4811
BOREDOM	Label: How often Is R bored at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 HARDLY EVER 5 NEVER 8 CANT CHOOSE 9 NA	4812
DANGER	Label: How often Does R work in dangerous conds Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 HARDLY EVER 5 NEVER 8 CANT CHOOSE 9 NA	4813
UNHLTHY	Label: How often Does R work in unhealthy conds Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 HARDLY EVER 5 NEVER 8 CANT CHOOSE 9 NA	4814
UNPLEZNT	Label: How often Does R work in unpleasant conds Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 HARDLY EVER 5 NEVER 8 CANT CHOOSE 9 NA	4815
PLANWRK	Label: How much can R plan daily work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 PLANS MOST 2 PLANS PART 3 CANT PLAN 9 NA	4816
FINDWORK	Label: Could R find a job <employed R's> Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 VERY EASY 2 FAIRLY EASY 3 NEITHER 4 FAIRLY DIFFICULT 5 VERY DIFFICULT 8 CANT CHOOSE 9 NA	4817
BOSSEMPS	Label: Quality of mgmnt-employee rels: R's firm Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 VERY GOOD 2 QUITE GOOD 3 NEITHER 4 QUITE BAD 5 VERY BAD 8 CANT CHOOSE 9 NA	4818
COWRKERS	Label: Quality of rels among workers: R's firm Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 VERY GOOD 2 QUITE GOOD 3 NEITHER 4 QUITE BAD 5 VERY BAD 8 CANT CHOOSE 9 NA	4819
JOBSAT	Label: How satisfied Is R with his/her job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 COMPLETELY SAT 2 VERY SAT 3 FAIRLY SAT 4 NEITHER 5 FAIRLY DISSAT 6 VERY DISSAT 7 COMPLETELY DISSAT 8 CANT CHOOSE 9 NA	4820
SUPERVIS	Label: Does R supervise others at work in main job Format: F1.0 Measure: Nominal Display Width: 8 Value Label 0 NO ISSP 1 SUPERVISES 2 DOESNT SUPERVISE 8 DK 9 NA	4821
SUPRVSJB	Label: Does R supervise others at work Format: F8.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DON'T KNOW 9 No answer	4822
SUPNUM	Label: Number of workers R supervises Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 NO ISSP 999 NA	4823
MOONLITE	Label: Does R have a second job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 YES, REGULARLY 2 YES, SOMETIMES 3 NO 9 NA	4824
OTHHRS	Label: Hours R spends at other job<s> Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 NO ISSP 98 DONT KNOW 99 NA	4825
NUMSITES	Label: Does R's firm have more than one location Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 YES 2 NO 9 NA	4826
LOCALNUM	Label: Number of employees: R's work site Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1-9 2 10-49 3 50-99 4 100-499 5 500-999 6 1,000-1,999 7 2,000+ 8 DONT KNOW 9 NA	4827
TOTALNUM	Label: Number of employees: R's entire firm Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 1-9 2 10-49 3 50-99 4 100-499 5 500-999 6 1,000-1,999 7 2,000 - 9,999 8 10,000+ 9 DONT KNOW-NA	4828
EMPLOYER	Label: Does R employ others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 YES 2 NO 9 NA	4829
NUMEMPLY	Label: Number of persons R employs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 NO ISSP 1 1-9 2 10-49 3 50-99 4 100-499 5 500-999 6 1,000-1,999 7 2,000+ 8 DONT KNOW 9 NA	4830
PAYDOJOB	Label: How important job well done in deciding pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4831
PAYFAM	Label: How important family responsibility in deciding p Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4832
PAYEDUC	Label: How important education in deciding pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4833
PAYTIME	Label: How important be long with the firm in deciding p Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4834
TECHJOBS	Label: New techs increase number of jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GREATLY INCREASE 2 SLIGHT INCREASE 3 NO DIFFERENCE TO 4 SLIGHTLY REDUCE 5 GREATLY REDUCE 8 CANT CHOOSE 9 NA	4835
TECHWORK	Label: New techs make work more interesting Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH MORE 2 LITTLE MORE 3 NEITHER MRE/LESS 4 A LITTLE LESS 5 MUCH LESS 8 CANT CHOOSE 9 NA	4836
WANTJOB1	Label: Which job would you prefer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A FULL TIME JOB 2 A PART-TIME JOB 3 JOB LESS 10/WK 4 NO PAID JOB 8 DONT KNOW 9 NA	4837
WORKNOW	Label: Are you currently working for pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	4838
SETHOURS	Label: Who set working hours Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EMPLOYER DECIDES 2 I DECIDE W/LIMTS 3 FREE TO DECIDE 8 DK 9 NA	4839
PLACEWRK	Label: Where do you work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IN 1 PLACE AWAY 2 AT HOME 3 PART HOME/ AWAY 4 VARIETY PLACES 8 DK 9 NA	4840
WKTENURE	Label: Describe your present job situation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO WRITTN CNTRCT 2 FIXED LESS 1 YR 3 FIXED MORE 1 YR 4 JOB NO TME LIMIT 8 CANT CHOOSE 9 NA	4841
USESKILL	Label: How much past skills can you make use in present Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALMOST NONE 2 A LITTLE 3 A LOT 4 ALMOST ALL 8 CANT CHOOSE 9 NA	4842
EDCSKILL	Label: How important school in developing skills Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 NOT UN/IMPORTNT 4 NOT IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	4843
JOBSKILL	Label: How important training in developing skills Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 IMPORTANT 3 NOT IMPT/UNIMP 4 NOT IMPORTANT 5 NOT IMPRT AT ALL 8 CANT CHOOSE 9 NA	4844
HELPORG1	Label: Willing to work harder for the firm Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	4845
PRIDEORG	Label: I am proud working for my firm Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	4846
CHNGWORK	Label: I would change my job for something else Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	4847
STAYORG3	Label: I would turn down job offering more pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	4848
PROUDWRK	Label: I am proud of the type of work I do Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	4849
ABSENT	Label: How many days absent from work past 6 month Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MORE THN 20 DAYS 2 11 TO 20 DAYS 3 6 TO 10 DAYS 4 1 TO 5 DAYS 5 NONE 8 CANT CHOOSE 9 NA	4850
LEAVEJOB	Label: How likely will try to find another firm Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 LIKELY 3 UNLIKELY 4 VERY UNLIKELY 8 CANT CHOOSE 9 NA	4851
WORRYJOB	Label: Do you worry about losing job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORRY GREAT DEAL 2 WORRY SOME XTENT 3 WORRY A LITTLE 4 DONT WORRY 8 DONT KNOW 9 NA	4852
EVJOB	Label: Have you ever had a paid job for 1 year or+ Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	4853
YRJOBEND	Label: When did your last paid job end Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 9998; 9999 Value Label -1 IAP 9998 Don't know 9999 No answer	4854
WHYJBEND	Label: Main reason your job end Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 0 Value Label -1 IAP 0 DK NA 1 I REACHED AGE 2 EARLY BY CHOICE 3 EARLY NOT CHOICE 4 PERMNENT DISABLD 5 WORK SHUT DOWN 6 I WAS DISMISSED 7 CONTRACT ENDED 8 FAMILY RESPONS 9 I GOT MARRIED	4855
WANTJOB2	Label: Would like to have a job now or in the future Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	4856
GETJOB	Label: How likely you would find a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 LIKELY 3 UNLIKELY 4 VERY UNLIKELY 8 CANT CHOOSE 9 NA	4857
LOOKJOB	Label: Are you looking for a job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	4858
PUBAGNCY	Label: Registered at a public employment agency Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO 2 YES ONCE/TWICE 3 YES MORE THAN 2 8 DK 9 NA	4859
PRIAGNCY	Label: Registered at a private employment agency Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO 2 YES ONCE/TWICE 3 YES MORE THAN 2 8 DK 9 NA	4860
WANTADS	Label: Answered advertisements for jobs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO 2 YES ONCE/TWICE 3 YES MRE THN TWCE 8 DK 9 NA	4861
ADFORJOB	Label: Advertised for a job in newspapeR's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO 2 YES ONCE/TWICE 3 YES MRE THN TWCE 8 DK 9 NA	4862
APPEMPS	Label: Applied directly to employers Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO 2 YES ONCE/TWICE 3 YES MRE THN TWCE 8 DK 9 NA	4863
ASKHELP	Label: Asked relatives friends colleagues to help Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO 2 YES ONCE OR TWCE 3 YES MRE THN TWCE 8 DONT KNOW 9 NA	4864
ECONSUP	Label: Main source of economic support Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PNSION PRI/ST/SS 2 UNEMPLOY BENFITS 3 SPOUSE/PARTNER 4 OTHR FAMLY MMBRS 5 SOC ASSIS/WELFRE 6 OCCASIONAL WORK 7 OTHER 8 DONT KNOW 9 NA	4865
SELFEMP1	Label: Employee have more job security than the self-employed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	4866
SELFEMP2	Label: Being employee interfere more with family life than self-employment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	4867
UNJOBSEC	Label: Unions are very important for job security Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	4868
UNBETTER	Label: Working condition would be much worse without unions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	4869
RIMPSKLS	Label: Job gives R chance to improve skills Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	4870
DAILYWRK	Label: How R's daily work is organized Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I am free to decide how my daily work is organized 2 I can decide within certain limits 3 I am not free to decide how my daily work is organized 8 CANT CHOOSE 9 NA	4871
TIMEOFF	Label: How difficult R takes an hour off during working hours Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not difficult at all 2 Not too difficult 3 Somewhat difficult 4 Very difficult 8 CANT CHOOSE 9 NA	4872
JBINTFAM	Label: How often R felt: demand of job interfere with family life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always 2 Often 3 Sometimes 4 Hardly ever 5 Never 8 CANT CHOOSE 9 NA	4873
FAMINTJB	Label: How often R felt: demand of family life interfere with job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always 2 Often 3 Sometimes 4 Hardly ever 5 Never 8 CANT CHOOSE 9 NA	4874
NEWJOB	Label: How helpful present work skill would be for new job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very helpful 2 Quite helpful 3 Not so helpful 4 Not helpful at all 8 CANT CHOOSE 9 NA	4875
JBTRAIN	Label: Did R have any training to improve job skill past 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 CANT CHOOSE 9 NA	4876
JOBEASY	Label: How easy if R find a job as good as current one Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very easy 2 Fairly easy 3 Neither easy nor difficult 4 Fairly difficult 5 Very difficult 8 CANT CHOOSE 9 NA	4877
REPLACEU	Label: How easy R's firm replaces R if R left Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Very easy 2 Fairly easy 3 Neither easy nor difficult 4 Fairly difficult 5 Very difficult 8 CANT CHOOSE 9 NA	4878
NOUNEMP1	Label: R would accept job requiring new skill to avoid unemployment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	4879
NOUNEMP2	Label: R would accept position with lower pay to avoid unemployment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	4880
NOUNEMP3	Label: R would accept temporary employment to avoid unemployment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	4881
NOUNEMP4	Label: R would accept travel longer to work to avoid unemployment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	4882
OTHERWRK	Label: Does R have any additional job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 No 2 Yes, mostly as an employee 3 Yes, mostly on a self-employed basis 4 Yes, other 8 CANT CHOOSE 9 NA	4883
SKLTRAIN	Label: R had job skill training in thepast 12 months Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	4884
SPWRKGVT	Label: Spouse working for government Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVERNMENT 2 PRIVATE EMPLOYER 8 DONT KNOW 9 NO ANSWER	4885
HAPUNHAP	Label: Happy or unhappy with life today Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY HAPPY 2 FAIRLY HAPPY 3 NOT VERY HAPPY 4 NOT AT ALL HAPPY 8 DK 9 NA	4886
STIFFPUN	Label: Lawbreakers should get stiffer sentences Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4887
DEATHPEN	Label: Murderers should get death penalty Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4888
PREMARS1	Label: Is premarital sex wrong? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS WRONG 2 ALMOST ALWAYS WRONG 3 WRONG ONLY SOMETIMES 4 NOT WRONG AT ALL 8 DK 9 NA	4889
XMARSEX1	Label: Is extramarital sex wrong? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS WRONG 2 ALMOST ALWAYS WRONG 3 WRONG ONLY SOMETIMES 4 NOT WRONG AT ALL 8 DK 9 NA	4890
HOMOSEX1	Label: Is homosexual sex wrong? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS WRONG 2 ALMOST ALWAYS WRONG 3 WRONG ONLY SOMETIMES 4 NOT WRONG AT ALL 8 DK 9 NA	4891
ABDEFCT1	Label: Law should allow abortion for birth defects Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD ALLOW IT 2 PROBABLY SHOULD ALLOW IT 3 PROBABLY SHOULD NOT ALLOW IT 4 DEFINITELY SHOULD NOT ALLOW IT 8 DK 9 NA	4892
ABPOOR1	Label: Law should allow abortion if family low income Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD ALLOW IT 2 PROBABLY SHOULD ALLOW IT 3 PROBABLY SHOULD NOT ALLOW IT 4 DEFINITELY SHOULD NOT ALLOW IT 8 DK 9 NA	4893
ABDEFCTW	Label: Wrong for woman to get abortion for birth defects Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS WRONG 2 ALMOST ALWAYS WRONG 3 WRONG ONLY SOMETIMES 4 NOT WRONG AT ALL 8 DK 9 NA	4894
ABPOORW	Label: Wrong for woman to get abortion if low income? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS WRONG 2 ALMOST ALWAYS WRONG 3 WRONG ONLY SOMETIMES 4 NOT WRONG AT ALL 8 DK 9 NA	4895
TAXCHEAT	Label: Wrong to cheat on taxes? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT WRONG 2 A BIT WRONG 3 WRONG 4 SERIOUSLY WRONG 8 DK 9 NA	4896
GOVCHEAT	Label: Wrong to give govt false info for benefits? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT WRONG 2 A BIT WRONG 3 WRONG 4 SERIOUSLY WRONG 8 DK 9 NA	4897
CONCONG	Label: Confidence in us congress Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 2 A GREAT DEAL OF CONFIDENCE 3 SOME CONFIDENCE 4 VERY LITTLE CONFIDENCE 5 NO CONFIDENCE AT ALL 8 DK 9 NA	4898
CONBIZ	Label: Confidence in business and industry Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 2 A GREAT DEAL OF CONFIDENCE 3 SOME CONFIDENCE 4 VERY LITTLE CONFIDENCE 5 NO CONFIDENCE AT ALL 8 DK 9 NA	4899
CONGOVT	Label: Confidence in government departments Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 2 A GREAT DEAL OF CONFIDENCE 3 SOME CONFIDENCE 4 VERY LITTLE CONFIDENCE 5 NO CONFIDENCE AT ALL 8 DK 9 NA	4900
CONCHURH	Label: Confidence in churches and religious orgs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 2 A GREAT DEAL OF CONFIDENCE 3 SOME CONFIDENCE 4 VERY LITTLE CONFIDENCE 5 NO CONFIDENCE AT ALL 8 DK 9 NA	4901
CONCOURT	Label: Confidence in courts and legal system Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 2 A GREAT DEAL OF CONFIDENCE 3 SOME CONFIDENCE 4 VERY LITTLE CONFIDENCE 5 NO CONFIDENCE AT ALL 8 DK 9 NA	4902
CONSCHLS	Label: Confidence in schools and educ system Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COMPLETE CONFIDENCE 2 A GREAT DEAL OF CONFIDENCE 3 SOME CONFIDENCE 4 VERY LITTLE CONFIDENCE 5 NO CONFIDENCE AT ALL 8 DK 9 NA	4903
POLSGOD	Label: Atheists shouldn't hold public office Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4904
CLERGVTE	Label: Clergy shouldn't try to influence voters Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4905
RELIGPUB	Label: Better if more believers held public office Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4906
CLERGGOV	Label: Clergy shouldn't try to influence govt decisions Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4907
CHURHPOW	Label: Do churches have too much power? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAR TOO MUCH PWR 2 TOO MUCH POWER 3 RIGHT AMOUNT PWR 4 TOO LITTLE POWER 5 FAR TOO LITL PWR 8 CANT CHOOSE 9 NA	4908
GODCHNGE	Label: Describe your beliefs about god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DON'T BELIEVE NOW, NEVER HAVE 2 DON'T BELIEVE NOW, USED TO 3 BELIEVE NOW, DIDN'T USED TO 4 BELIEVE NOW, ALWAYS HAVE 8 DK 9 NA	4909
AFTERLIF	Label: Belief in life after death Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, DEFINITELY 2 YES, PROBABLY 3 NO, PROBABLY NOT 4 NO, DEFINITELY NOT 8 DK 9 NA	4910
DEVIL	Label: Belief in the devil Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, DEFINITELY 2 YES, PROBABLY 3 NO, PROBABLY NOT 4 NO, DEFINITELY NOT 8 DK 9 NA	4911
HEAVEN	Label: Belief in heaven Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, DEFINITELY 2 YES, PROBABLY 3 NO, PROBABLY NOT 4 NO, DEFINITELY NOT 8 DK 9 NA	4912
HELL	Label: Belief in hell Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, DEFINITELY 2 YES, PROBABLY 3 NO, PROBABLY NOT 4 NO, DEFINITELY NOT 8 DK 9 NA	4913
MIRACLES	Label: Belief in religious miracles Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, DEFINITELY 2 YES, PROBABLY 3 NO, PROBABLY NOT 4 NO, DEFINITELY NOT 8 DK 9 NA	4914
BIBLE1	Label: Describe your feelings about the bible Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORD OF GOD, TAKE LITERALLY 2 GOD-INSPIRED, SHOULDN'T TAKE LITERALLY 3 BOOK OF FABLES, BY MAN 4 THIS DOES NOT APPLY TO ME 8 DK 9 NA	4915
THEISM	Label: God concerned with human beings Personally Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4916
FATALISM	Label: People can't change the course of their lives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4917
GODMEANS	Label: Life meaningful because god exists Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4918
NIHILISM	Label: Life serves no purpose Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4919
PREDETER	Label: God decides the course of our lives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4920
EGOMEANS	Label: Life meaningful only if you provide meaning Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4921
OWNFATE	Label: We each make our own fate Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4922
RELEXPER	Label: Turning point in life for religion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	4923
MARELKID	Label: Mothers religion when R was child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 ORTHODOX GREEK, RUSSIAN, ETC 5 MOSLEM 6 OTHER -SPECIFY 7 NO RELIGION 8 DK 9 NA	4924
MADENKID	Label: If protestant, Mothers denomination Format: F5.0 Measure: Scale Display Width: 8 Missing Values: 0; 99998; 99999 Value Label 0 IAP 10000 AMER BAPTIST ASSOC 11000 AMER BAPTIST CH IN USA 12000 NATL BAPTIST CONV. OF AMERICA 13000 NATL BAPTIST CONV., USA, INC 14000 SOUTHERN BAPTIST CONV 15000 OTHER BAPTIST CHS 18000 BAPTIST, DK WHICH 20000 AFRICAN METH EPIS CH 21000 AME ZION CHURCH 22000 UNITED METH CHURCH 23000 OTHER METH CH 28000 METHODIST, DK WHICH 30000 AMER LUTHERAN CH 31000 LUTH CH IN AMER 32000 LUTH CH--MO SYNOD 33000 WISC EVAN LUTH SYNOD 34000 OTHER LUTH CHS 35000 EVAN LUTHERAN 38000 LUTHERAN, DK WHICH 40000 PRESBYT CH IN USA 41000 UNITED PRESBYT CH IN USA 42000 OTHER PRESBYT CHS 43000 PRESBYT CH USA 48000 PRESBYTERIAN, DK WHICH 50000 EPISCOPAL CHURCH 60002 EVANGELIGAL CONGREGATIONAL 60003 IND. BIBLE FELLOWSHIP 60006 NEW TESTAMENT CHRISTIAN 60008 MORAVIAN 60009 CHRIST. AND MISSION. ALLIANCE 60010 ADVENTIST 60012 ASSEMBLY OF GOD 60013 FREE METHODIST 60014 APOSTOLIC 60015 AFRICAN METHODIST 60016 FREE WILL BAPTIST 60018 HOLINESS, NAZARENE 60020 BRETHREN CHURCH 60023 UNITED BRETHREN, BRETH. IN CHRIST 60024 INDEPENDENT 60031 CHRISTIAN; CENTRAL CHRISTIAN 60032 CHRISTIAN REFORM 60033 CHRISTIAN SCIENTIST 60035 CHURCH OF CHRIST 60036 CHURCHES OF GOD -EXC. CHRIST & HOLINESS 60037 CHURCH OF GOD IN CHRIST 60038 HOLINESS 60040 CONGREGATIONALIST, 1ST CONG 60041 COMMUNITY CHURCH 60042 COVENANT 60043 DUTCH REFORM 60044 DISCIPLES OF CHRIST 60045 EVANGELICAL, EVANGELIST 60046 EVANGELICAL REFORMED 60047 EVANGELIST FREE CHURCH 60048 FIRST CHURCH 60049 1ST CHRISTIAN DISC OF CHRIST 60050 1ST REFORMED 60051 1ST CHRISTIAN 60052 FULL GOSPEL 60056 HOLINESS; CH OF HOLINESS 60057 PILGRIM HOLINESS 60058 JEHOVAH WITNESSES 60059 LDS 60060 LDS--MORMON 60061 LDS--REORGANIZED 60062 LDS--JESUS CHRIST; CH OF JESUS LDS 60063 MENNONITE 60064 MORMON 60065 NAZARENE 60066 PENTECOSTAL ASSEMBLY OF GOD 60068 PENTECOSTAL 60070 QUAKER 60071 REFORMED 60076 SALVATION ARMY 60077 7TH DAY ADVENTIST 60078 SANCTIFIED, SANCTIFICATION 60080 UNITARIAN, UNIVERSALIST 60081 UNITED CHURCH OF CHRIST 60082 UNITED CHURCH, UNITY CHURCH 60083 WESLEYAN 60084 WESLEYAN METHODIST--PILGRIM 60092 MISSION COVENANT 60093 MISSIONARY BAPTIST 60097 OTHER FUNDAMENTALIST 60098 FEDERATED CHURCH 60102 CHARISMATIC CHRISTIAN 60112 EVANGELIGAL METHODIST 60113 WORLDWIDE CHURCH OF GOD 60117 MISSIONARY 60119 UNITED CHURCH OF CANADA 60120 EVANGELICAL UNITED BRETHREN 60133 PRIMITIVE BAPTIST 60138 APOSTOLIC CHURCH 60141 NEW BIRTH CHRISTIAN 60149 POLISH CATHOLIC 60150 ZWINGLIAN 60156 LIVING CHURCH OF GOD 60181 CHRISTIAN BORN AGAIN 60184 CHURCH OF GOD ISRAELITE 70000 NO DENOM. GIVEN OR NON-DENOM CH 99998 DK 99999 NA	4925
PARELKID	Label: Father's religion when R was child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 ORTHODOX GREEK, RUSSIAN, ETC 5 MOSLEM 6 OTHER -SPECIFY 7 NO RELIGION 8 DK 9 NA	4926
PADENKID	Label: If protestant, Father's denomination Format: F5.0 Measure: Scale Display Width: 8 Missing Values: 0; 99998; 99999 Value Label 0 IAP 10000 AMER BAPTIST ASSOC 11000 AMER BAPTIST CH IN USA 12000 NATL BAPTIST CONV. OF AMERICA 13000 NATL BAPTIST CONV., USA, INC 14000 SOUTHERN BAPTIST CONV 15000 OTHER BAPTIST CHS 18000 BAPTIST, DK WHICH 20000 AFRICAN METH EPIS CH 21000 AME ZION CHURCH 22000 UNITED METH CHURCH 23000 OTHER METH CH 28000 METHODIST, DK WHICH 30000 AMER LUTHERAN CH 31000 LUTH CH IN AMER 32000 LUTH CH--MO SYNOD 33000 WISC EVAN LUTH SYNOD 34000 OTHER LUTH CHS 35000 EVAN LUTHERAN 38000 LUTHERAN, DK WHICH 40000 PRESBYT CH IN USA 41000 UNITED PRESBYT CH IN USA 42000 OTHER PRESBYT CHS 43000 PRESBYT CH USA 48000 PRESBYTERIAN, DK WHICH 50000 EPISCOPAL CHURCH 60002 EVANGELIGAL CONGREGATIONAL 60003 IND. BIBLE FELLOWSHIP 60006 NEW TESTAMENT CHRISTIAN 60008 MORAVIAN 60009 CHRIST. AND MISSION. ALLIANCE 60010 ADVENTIST 60012 ASSEMBLY OF GOD 60013 FREE METHODIST 60014 APOSTOLIC 60015 AFRICAN METHODIST 60016 FREE WILL BAPTIST 60018 HOLINESS, NAZARENE 60020 BRETHREN CHURCH 60023 UNITED BRETHREN, BRETH. IN CHRIST 60024 INDEPENDENT 60031 CHRISTIAN; CENTRAL CHRISTIAN 60032 CHRISTIAN REFORM 60033 CHRISTIAN SCIENTIST 60035 CHURCH OF CHRIST 60036 CHURCHES OF GOD -EXC. CHRIST & HOLINESS 60037 CHURCH OF GOD IN CHRIST 60038 HOLINESS 60040 CONGREGATIONALIST, 1ST CONG 60041 COMMUNITY CHURCH 60042 COVENANT 60043 DUTCH REFORM 60044 DISCIPLES OF CHRIST 60045 EVANGELICAL, EVANGELIST 60046 EVANGELICAL REFORMED 60047 EVANGELIST FREE CHURCH 60048 FIRST CHURCH 60049 1ST CHRISTIAN DISC OF CHRIST 60050 1ST REFORMED 60051 1ST CHRISTIAN 60052 FULL GOSPEL 60056 HOLINESS; CH OF HOLINESS 60057 PILGRIM HOLINESS 60058 JEHOVAH WITNESSES 60059 LDS 60060 LDS--MORMON 60061 LDS--REORGANIZED 60062 LDS--JESUS CHRIST; CH OF JESUS LDS 60063 MENNONITE 60064 MORMON 60065 NAZARENE 60066 PENTECOSTAL ASSEMBLY OF GOD 60068 PENTECOSTAL 60070 QUAKER 60071 REFORMED 60076 SALVATION ARMY 60077 7TH DAY ADVENTIST 60078 SANCTIFIED, SANCTIFICATION 60080 UNITARIAN, UNIVERSALIST 60081 UNITED CHURCH OF CHRIST 60082 UNITED CHURCH, UNITY CHURCH 60083 WESLEYAN 60084 WESLEYAN METHODIST--PILGRIM 60092 MISSION COVENANT 60093 MISSIONARY BAPTIST 60097 OTHER FUNDAMENTALIST 60098 FEDERATED CHURCH 60102 CHARISMATIC CHRISTIAN 60112 EVANGELIGAL METHODIST 60113 WORLDWIDE CHURCH OF GOD 60117 MISSIONARY 60119 UNITED CHURCH OF CANADA 60120 EVANGELICAL UNITED BRETHREN 60133 PRIMITIVE BAPTIST 60138 APOSTOLIC CHURCH 60141 NEW BIRTH CHRISTIAN 60149 POLISH CATHOLIC 60150 ZWINGLIAN 60156 LIVING CHURCH OF GOD 60181 CHRISTIAN BORN AGAIN 60184 CHURCH OF GOD ISRAELITE 70000 NO DENOM. GIVEN OR NON-DENOM CH 99998 DK 99999 NA	4927
RELIGKID	Label: Religion R was raised in Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 ORTHODOX GREEK, RUSSIAN, ETC 5 MOSLEM 6 OTHER -SPECIFY 7 NO RELIGION 8 DK 9 NA	4928
DENKID	Label: If protestant, denomination R raised in Format: F5.0 Measure: Scale Display Width: 8 Missing Values: 0; 99998; 99999 Value Label 0 IAP 10000 AMER BAPTIST ASSOC 11000 AMER BAPTIST CH IN USA 12000 NATL BAPTIST CONV. OF AMERICA 13000 NATL BAPTIST CONV., USA, INC 14000 SOUTHERN BAPTIST CONV 15000 OTHER BAPTIST CHS 18000 BAPTIST, DK WHICH 20000 AFRICAN METH EPIS CH 21000 AME ZION CHURCH 22000 UNITED METH CHURCH 23000 OTHER METH CH 28000 METHODIST, DK WHICH 30000 AMER LUTHERAN CH 31000 LUTH CH IN AMER 32000 LUTH CH--MO SYNOD 33000 WISC EVAN LUTH SYNOD 34000 OTHER LUTH CHS 35000 EVAN LUTHERAN 38000 LUTHERAN, DK WHICH 40000 PRESBYT CH IN USA 41000 UNITED PRESBYT CH IN USA 42000 OTHER PRESBYT CHS 43000 PRESBYT CH USA 48000 PRESBYTERIAN, DK WHICH 50000 EPISCOPAL CHURCH 60002 EVANGELIGAL CONGREGATIONAL 60003 IND. BIBLE FELLOWSHIP 60006 NEW TESTAMENT CHRISTIAN 60008 MORAVIAN 60009 CHRIST. AND MISSION. ALLIANCE 60010 ADVENTIST 60012 ASSEMBLY OF GOD 60013 FREE METHODIST 60014 APOSTOLIC 60015 AFRICAN METHODIST 60016 FREE WILL BAPTIST 60018 HOLINESS, NAZARENE 60020 BRETHREN CHURCH 60023 UNITED BRETHREN, BRETH. IN CHRIST 60024 INDEPENDENT 60031 CHRISTIAN; CENTRAL CHRISTIAN 60032 CHRISTIAN REFORM 60033 CHRISTIAN SCIENTIST 60035 CHURCH OF CHRIST 60036 CHURCHES OF GOD -EXC. CHRIST & HOLINESS 60037 CHURCH OF GOD IN CHRIST 60038 HOLINESS 60040 CONGREGATIONALIST, 1ST CONG 60041 COMMUNITY CHURCH 60042 COVENANT 60043 DUTCH REFORM 60044 DISCIPLES OF CHRIST 60045 EVANGELICAL, EVANGELIST 60046 EVANGELICAL REFORMED 60047 EVANGELIST FREE CHURCH 60048 FIRST CHURCH 60049 1ST CHRISTIAN DISC OF CHRIST 60050 1ST REFORMED 60051 1ST CHRISTIAN 60052 FULL GOSPEL 60056 HOLINESS; CH OF HOLINESS 60057 PILGRIM HOLINESS 60058 JEHOVAH WITNESSES 60059 LDS 60060 LDS--MORMON 60061 LDS--REORGANIZED 60062 LDS--JESUS CHRIST; CH OF JESUS LDS 60063 MENNONITE 60064 MORMON 60065 NAZARENE 60066 PENTECOSTAL ASSEMBLY OF GOD 60068 PENTECOSTAL 60070 QUAKER 60071 REFORMED 60076 SALVATION ARMY 60077 7TH DAY ADVENTIST 60078 SANCTIFIED, SANCTIFICATION 60080 UNITARIAN, UNIVERSALIST 60081 UNITED CHURCH OF CHRIST 60082 UNITED CHURCH, UNITY CHURCH 60083 WESLEYAN 60084 WESLEYAN METHODIST--PILGRIM 60092 MISSION COVENANT 60093 MISSIONARY BAPTIST 60097 OTHER FUNDAMENTALIST 60098 FEDERATED CHURCH 60102 CHARISMATIC CHRISTIAN 60112 EVANGELIGAL METHODIST 60113 WORLDWIDE CHURCH OF GOD 60117 MISSIONARY 60119 UNITED CHURCH OF CANADA 60120 EVANGELICAL UNITED BRETHREN 60133 PRIMITIVE BAPTIST 60138 APOSTOLIC CHURCH 60141 NEW BIRTH CHRISTIAN 60149 POLISH CATHOLIC 60150 ZWINGLIAN 60156 LIVING CHURCH OF GOD 60181 CHRISTIAN BORN AGAIN 60184 CHURCH OF GOD ISRAELITE 70000 NO DENOM. GIVEN OR NON-DENOM CH 99998 DK 99999 NA	4929
RELIGSP	Label: R's spouse's religion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 ORTHODOX GREEK, RUSSIAN, ETC 5 MOSLEM 6 OTHER -SPECIFY 7 NO RELIGION 8 DK 9 NA	4930
DENSP	Label: If protestant, R's spouse's denomination Format: F5.0 Measure: Scale Display Width: 8 Missing Values: 0; 99998; 99999 Value Label 0 IAP 10000 AMER BAPTIST ASSOC 11000 AMER BAPTIST CH IN USA 12000 NATL BAPTIST CONV. OF AMERICA 13000 NATL BAPTIST CONV., USA, INC 14000 SOUTHERN BAPTIST CONV 15000 OTHER BAPTIST CHS 18000 BAPTIST, DK WHICH 20000 AFRICAN METH EPIS CH 21000 AME ZION CHURCH 22000 UNITED METH CHURCH 23000 OTHER METH CH 28000 METHODIST, DK WHICH 30000 AMER LUTHERAN CH 31000 LUTH CH IN AMER 32000 LUTH CH--MO SYNOD 33000 WISC EVAN LUTH SYNOD 34000 OTHER LUTH CHS 35000 EVAN LUTHERAN 38000 LUTHERAN, DK WHICH 40000 PRESBYT CH IN USA 41000 UNITED PRESBYT CH IN USA 42000 OTHER PRESBYT CHS 43000 PRESBYT CH USA 48000 PRESBYTERIAN, DK WHICH 50000 EPISCOPAL CHURCH 60002 EVANGELIGAL CONGREGATIONAL 60003 IND. BIBLE FELLOWSHIP 60006 NEW TESTAMENT CHRISTIAN 60008 MORAVIAN 60009 CHRIST. AND MISSION. ALLIANCE 60010 ADVENTIST 60012 ASSEMBLY OF GOD 60013 FREE METHODIST 60014 APOSTOLIC 60015 AFRICAN METHODIST 60016 FREE WILL BAPTIST 60018 HOLINESS, NAZARENE 60020 BRETHREN CHURCH 60023 UNITED BRETHREN, BRETH. IN CHRIST 60024 INDEPENDENT 60031 CHRISTIAN; CENTRAL CHRISTIAN 60032 CHRISTIAN REFORM 60033 CHRISTIAN SCIENTIST 60035 CHURCH OF CHRIST 60036 CHURCHES OF GOD -EXC. CHRIST & HOLINESS 60037 CHURCH OF GOD IN CHRIST 60038 HOLINESS 60040 CONGREGATIONALIST, 1ST CONG 60041 COMMUNITY CHURCH 60042 COVENANT 60043 DUTCH REFORM 60044 DISCIPLES OF CHRIST 60045 EVANGELICAL, EVANGELIST 60046 EVANGELICAL REFORMED 60047 EVANGELIST FREE CHURCH 60048 FIRST CHURCH 60049 1ST CHRISTIAN DISC OF CHRIST 60050 1ST REFORMED 60051 1ST CHRISTIAN 60052 FULL GOSPEL 60056 HOLINESS; CH OF HOLINESS 60057 PILGRIM HOLINESS 60058 JEHOVAH WITNESSES 60059 LDS 60060 LDS--MORMON 60061 LDS--REORGANIZED 60062 LDS--JESUS CHRIST; CH OF JESUS LDS 60063 MENNONITE 60064 MORMON 60065 NAZARENE 60066 PENTECOSTAL ASSEMBLY OF GOD 60068 PENTECOSTAL 60070 QUAKER 60071 REFORMED 60076 SALVATION ARMY 60077 7TH DAY ADVENTIST 60078 SANCTIFIED, SANCTIFICATION 60080 UNITARIAN, UNIVERSALIST 60081 UNITED CHURCH OF CHRIST 60082 UNITED CHURCH, UNITY CHURCH 60083 WESLEYAN 60084 WESLEYAN METHODIST--PILGRIM 60092 MISSION COVENANT 60093 MISSIONARY BAPTIST 60097 OTHER FUNDAMENTALIST 60098 FEDERATED CHURCH 60102 CHARISMATIC CHRISTIAN 60112 EVANGELIGAL METHODIST 60113 WORLDWIDE CHURCH OF GOD 60117 MISSIONARY 60119 UNITED CHURCH OF CANADA 60120 EVANGELICAL UNITED BRETHREN 60133 PRIMITIVE BAPTIST 60138 APOSTOLIC CHURCH 60141 NEW BIRTH CHRISTIAN 60149 POLISH CATHOLIC 60150 ZWINGLIAN 60156 LIVING CHURCH OF GOD 60181 CHRISTIAN BORN AGAIN 60184 CHURCH OF GOD ISRAELITE 70000 NO DENOM. GIVEN OR NON-DENOM CH 99998 DK 99999 NA	4931
ATTENDMA	Label: Freq of R's mom's relig svc attendance Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NEVER 2 LESS THAN ONCE A YR 3 ABOUT ONCE OR TWICE A YR 4 SEVERAL TIMES A YR 5 ABOUT ONCE A MONTH 6 2-3 TIMES A MONTH 7 NEARLY EVERY WEEK 8 EVERY WEEK 9 SEVERAL TIMES A WEEK 10 NO FATHER-MOTHER PRESENT 98 CANT SAY OR CANT REMEMBER 99 NA	4932
ATTENDPA	Label: Freq of R's dad's relig svc attendance Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NEVER 2 LESS THAN ONCE A YR 3 ABOUT ONCE OR TWICE A YR 4 SEVERAL TIMES A YR 5 ABOUT ONCE A MONTH 6 2-3 TIMES A MONTH 7 NEARLY EVERY WEEK 8 EVERY WEEK 9 SEVERAL TIMES A WEEK 10 NO FATHER-MOTHER PRESENT 98 CANT SAY OR CANT REMEMBER 99 NA	4933
ATTEND12	Label: Freq of R's relig svc attendance at age 12 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NEVER 2 LESS THAN ONCE A YR 3 ABOUT ONCE OR TWICE A YR 4 SEVERAL TIMES A YR 5 ABOUT ONCE A MONTH 6 2-3 TIMES A MONTH 7 NEARLY EVERY WEEK 8 EVERY WEEK 9 SEVERAL TIMES A WEEK 10 NO FATHER-MOTHER PRESENT 98 CANT SAY OR CANT REMEMBER 99 NA	4934
PRAYFREQ	Label: How often does R pray Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NEVER 2 LESS THAN ONCE A YEAR 3 ABOUT ONCE OR TWICE A YEAR 4 SEVERAL TIMES A YEAR 5 ABOUT ONCE A MONTH 6 2-3 TIMES A MONTH 7 NEARLY EVERY WEEK 8 EVERY WEEK 9 SEVERAL TIMES A WEEK 10 ONCE A DAY 11 SEVERAL TIMES A DAY 98 DK 99 NA	4935
RELACTIV	Label: How often does R take part in relig activities Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NEVER 2 LESS THAN ONCE A YEAR 3 ABOUT ONCE OR TWICE A YEAR 4 SEVERAL TIMES A YEAR 5 ABOUT ONCE A MONTH 6 2-3 TIMES A MONTH 7 NEARLY EVERY WEEK 8 EVERY WEEK 9 SEVERAL TIMES A WEEK 10 ONCE A DAY 11 SEVERAL TIMES A DAY 98 DK 99 NA	4936
RELACTIV1	Label: How often does R take part in relig activities Format: F2.0 Measure: Nominal Display Width: 11 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Never 2 Less than once a year 3 About once or twice a year 4 Several times a year 5 About once a month 6 2-3 times a month 7 Nearly every week 8 Every week 9 Several times a week 98 DONT KNOW 99 NO ANSWER	4937
FEELREL	Label: How religious Is R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREME RELGIOUS 2 VERY RELIGIOUS 3 SOMWHAT RELGIOUS 4 NOT REL OR NON 5 SOMEWHAT NON-REL 6 VERY NON-REL 7 EXTREME NON-REL 8 CANT CHOOSE 9 NA	4938
SCHLPRAY	Label: Should there be daily prayer in public schools? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, DEFINITELY 2 YES, PROBABLY 3 NO, PROBABLY 4 NO, DEFINITELY 8 DK 9 NA	4939
GODRIGHT	Label: God's laws should decide right and wrong Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4940
SOCRIGHT	Label: Society's laws should decide right and wrong Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4941
PERRIGHT	Label: Conscience should decide right and wrong Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4942
ANTIREL	Label: Anti-religious material should be banned Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DK 9 NA	4943
BEFAIR	Label: How often do you think people take advantage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ADVNTGE ALL TIME 2 ADVNTGE MST TIME 3 FAIR MST OF TIME 4 FAIR ALL OF TIME 8 CANT CHOOSE 9 NA	4944
CANTRUST	Label: People can be trusted or cant be too careful Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS TRUSTED 2 USUALLY TRUSTED 3 USUAL NOT TRSTED 4 ALWYS NOT TRSTED 8 CANT CHOOSE 9 NA	4945
TRUSTSCI	Label: We trust too much in science Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	4946
RELIGCON	Label: Religions bring more conflict Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	4947
RELIGINT	Label: Religious people are often too intolerant Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	4948
RELIGINF	Label: Us would be better if less religious Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA	4949
VOLWKPOL	Label: Volunteered political activities past 12 month Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO 2 YES 1-2 TIMES 3 YES 3-5 TIMES 4 YES 6/MORE TIMES 8 DK 9 NA	4950
VOLWKCHR	Label: Volunteered charitable past 12 month Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO 2 YES 1-2 TIMES 3 YES 3-5 TIMES 4 YES 6/MORE TIMES 8 DK 9 NA	4951
VOLWKREL	Label: Volunteered religious past 12 month Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO 2 YES 1-2 TIMES 3 YES 3-5 TIMES 4 YES 6/MORE TIMES 8 DK 9 NA	4952
VOLWKOTH	Label: Volunteered other kinds past 12 month Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO 2 YES 1-2 TIMES 3 YES 3-5 TIMES 4 YES 6/MORE TIMES 8 DK 9 NA	4953
RELTRUTH	Label: How much truth in religion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LITTLE TRUTH ANY 2 BASIC TRUTH MANY 3 TRUTH IN ONE 8 CANT CHOOSE 9 NA	4954
CARRIGHT	Label: What your friend has a right to expect from you Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITE RIGHT 2 SOME RIGHT 3 NO RIGHT 8 CANT CHOOSE 9 NA	4955
CARDO	Label: What would you do in this situation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEF TLL PLCE WAS 2 PRB TLL PLCE WAS 3 PRB TLL PLCE NOT 4 DEF TLL PLCE NOT 8 CANT CHOOSE 9 NA	4956
GEOMOBIL	Label: Has R moved from one kind of place to another Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I have lived in different countries 2 I have lived in different places in the same country 3 I have lived in different neighborhoods in the same place 4 I have always lived in the same neighborhood 8 DONT KNOW 9 NA	4957
RELGRPEQ	Label: All religious groups in usa should have equal rights Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DONT KNOW 9 NA	4958
RSPCTREL	Label: We must respect all religions Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DONT KNOW 9 NA	4959
RELMARRY	Label: R accepts a person from a different religion or view from r's marrying relative Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely accept 2 Probably accept 3 Probably not accept 4 Definitely not accept 8 DONT KNOW 9 NA	4960
RELCAND	Label: R accepts a person from a different religion or view from r's being candidate of party R prefers Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely accept 2 Probably accept 3 Probably not accept 4 Definitely not accept 8 DONT KNOW 9 NA	4961
RELEXT1	Label: Religious extremists should be allowed to hold public meeting to express views Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely 2 Probably 3 Probably not 4 Definitely not 8 DONT KNOW 9 NA	4962
RELEXT2	Label: People should be allowed to publish books expressing their views Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely 2 Probably 3 Probably not 4 Definitely not 8 DONT KNOW 9 NA	4963
REINCAR	Label: Believe in reincarnation Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, definitely 2 Yes, probably 3 No, probably not 4 No, definitely not 8 DONT KNOW 9 NA	4964
NIRVANA	Label: Believe in nirvana Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, definitely 2 Yes, probably 3 No, probably not 4 No, definitely not 8 DONT KNOW 9 NA	4965
ANCESTRS	Label: Believe in supernatural power of deceased ancestors Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes, definitely 2 Yes, probably 3 No, probably not 4 No, definitely not 8 DONT KNOW 9 NA	4966
MYWAYGOD	Label: R has own way of connecting with god without churches or religious services Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DONT KNOW 9 NA	4967
RELOBJCT	Label: For religious reasons R has in home shrine, altar, or religious object on display Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4968
VISTHOLY	Label: How often R visits holy place for religious reasons Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Never 2 Less than once a year 3 About once or twice a year 4 Several times a year 5 About once a month or more 8 DONT KNOW 9 NA	4969
RELSPRT	Label: Is R spiritual person Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 I follow a religion and consider myself to be a spiritual person interested in the sacred and the sup 2 I follow a religion, but dont consider myself to be a spiritual person interested in the sacred and 3 I dont follow a religion, but consider myself to be a spiritual person interested in the sacred and 4 I dont follow a religion and dont consider myself to be a spiritual person interested in the sacred 8 DONT KNOW 9 NA	4970
PAXHAPPY	Label: Religion helps people to find inner peace and happiness Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DONT KNOW 9 NA	4971
MAKEFRND	Label: Religion helps people to make friends Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DONT KNOW 9 NA	4972
COMFORT	Label: Religion helps people to gain comfort in times of trouble and sorrow Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DONT KNOW 9 NA	4973
RIGHTPEO	Label: Religion helps people to meet the right kind of people Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 DONT KNOW 9 NA	4974
PERSCRFC	Label: R made some Personal sacrifice as an expression of faith by fasting, giving up activity, etc. Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	4975
OBEYTHNK	Label: Should chldrn be obedient or think for selves Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TO BE OBEDIENT 2 TO THINK FOR THEMSELVES 8 DK 9 NA	4976
PRIVENT	Label: Private enterprise will solve U.S. problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4977
POSTMAT1	Label: Highest priority for America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MAINTAIN ORDER 2 GIVE PEOPLE MORE SAY 3 CONTROL PRICES 4 PROTECT FREE SPEECH 8 DK 9 NA	4978
POSTMAT2	Label: 2nd highest priority for America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MAINTAIN ORDER 2 GIVE PEOPLE MORE SAY 3 CONTROL PRICES 4 PROTECT FREE SPEECH 8 DK 9 NA	4979
SCIFAITH	Label: Believe too much in science, not enough faith Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4980
HARMGOOD	Label: Modern science does more harm than good Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4981
SCIWORSE	Label: Humans change nature for the worse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4982
SCIGRN	Label: Modern science will solve envir probs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4983
GRNECON	Label: Worry too much about envir, too little econ Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4984
HARMSGRN	Label: Almost everything we do harms envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4985
ANRIGHTS	Label: Animals have rights too Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4986
RESNATUR	Label: Humans should respect naturecreated by god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4987
GRNPROG	Label: Worry too much about progress harming envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4988
NATURPAX	Label: Nature would be at peace if humans left alone Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4989
GRWTHELP	Label: Amer needs econ grwth to protect envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4990
ANTESTS	Label: Ok to test on animals to save humans Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4991
NATURWAR	Label: Nature is survival of fittest Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4992
GRWTHARM	Label: Econ grwth always harms envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4993
NATURGOD	Label: Relationship of nature to god Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NATURE CREATED BY GOD 2 NATURE SACRED IN ITSELF 3 NATURE IMPORT, BUT NOT SACRED 8 DK 9 NA	4994
GRNPRICE	Label: Pay higher prices to help envir? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY WILLING 2 FAIRLY WILLING 3 NEITHER WILLING NOR UNWILL 4 NOT VERY WILLING 5 NOT AT ALL WILLING 8 DK 9 NA	4995
GRNTAXES	Label: Pay higher taxes to help envir? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY WILLING 2 FAIRLY WILLING 3 NEITHER WILLING NOR UNWILL 4 NOT VERY WILLING 5 NOT AT ALL WILLING 8 DK 9 NA	4996
GRNSOL	Label: Accept cut in living stnds to help envir? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY WILLING 2 FAIRLY WILLING 3 NEITHER WILLING NOR UNWILL 4 NOT VERY WILLING 5 NOT AT ALL WILLING 8 DK 9 NA	4997
TOODIFME	Label: Too diff to do anything about envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4998
IHLPGRN	Label: Do what i can to help envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	4999
SCITEST1	Label: Humans make all radioactivity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA	5000
SCITEST2	Label: Antibiotics kill bacteria not viruses Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA	5001
SCITEST3	Label: Astrology has some scientific truth Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA	5002
SCITEST4	Label: Humans evolved from animals Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA	5003
SCITEST5	Label: All man-made chems cause cancer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA	5004
GRNTEST1	Label: All will die if exposed to radioact Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA	5005
GRNTEST2	Label: Nuke waste dangerous for thousands of yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA	5006
GRNTEST3	Label: Greenhouse effect caused by hole in atmosphere Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA	5007
GRNTEST4	Label: Using coal or gas contrib to greenhouse effect Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA	5008
GRNTEST5	Label: All pesticides cause cancer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA	5009
GRNTEST6	Label: Humans are main cause of plant & animal extinct Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA	5010
GRNTEST7	Label: CaR's not imp cause of air pollution Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA	5011
CARSGEN	Label: Car pollution danger to envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA	5012
CARSFAM	Label: Car pollution danger to my family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA	5013
CARSTEN	Label: Car pollution will increase in next 10 yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 CERTAIN TO HAPPEN 2 VERY LIKELY TO HAPPEN 3 FAIRLY LIKELY TO HAPPEN 4 NOT VERY LIKELY TO HAPPEN 5 NOT AT ALL LIKELY 8 CANNOT CHOSE 9 NA	5014
NUKEGEN	Label: Nuke power danger to envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA	5015
NUKEFAM	Label: Nuke power danger to my family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA	5016
INDUSGEN	Label: Indust air pollution danger to envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA	5017
INDUSFAM	Label: Indust air pollution danger to my family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA	5018
CHEMGEN	Label: Pesticides danger to envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA	5019
CHEMFAM	Label: Pesticides danger to my family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA	5020
WATERGEN	Label: Water pollution danger to envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA	5021
WATERFAM	Label: Water pollution danger to my family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA	5022
TEMPGEN	Label: Greenhouse effect danger to envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA	5023
TEMPFAM	Label: Greenhouse effect danger to my family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA	5024
PUBDECID	Label: Govt should let peop decide how to protect envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOV. LET PEOPLE DECIDE 2 GOV. MAKE LAWS 8 DK 9 NA	5025
BUSDECID	Label: Govt should let biz decide how to protect envir Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOV. LET BUSNESSES DECIDE 2 GOV. MAKE LAWS 8 DK 9 NA	5026
USDOENUF	Label: U.S. protect environment Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 More than enough 2 About the right amount, or 3 Too little? 8 DON'T KNOW 9 No answer	5027
RECYCLE	Label: Recycle cans bottles Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 NEVER 5 NOT AVAILABLE 8 DK 9 NA	5028
CHEMFREE	Label: Buy pesticide free fruits, vegetables Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 NEVER 5 NOT AVAILABLE 8 DK 9 NA	5029
NOMEAT	Label: Refuse to eat meat for envir reasons Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 NEVER 5 NO CAR, DONT DRIVE 9 NA	5030
DRIVLESS	Label: Drive less for envir reasons Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 NEVER 5 NO CAR, DONT DRIVE 8 DK 9 NA	5031
GRNGROUP	Label: Member of envir group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5032
GRNSIGN	Label: Sign petition on envir issue Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, I HAVE 2 NO, I HAVE NOT 8 DK 9 NA	5033
GRNMONEY	Label: Give money to envir group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, I HAVE 2 NO, I HAVE NOT 8 DK 9 NA	5034
GRNDEMO	Label: Protested for envir issue Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, I HAVE 2 NO, I HAVE NOT 8 DK 9 NA	5035
COMTYPE	Label: Type of community in which R lives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BIG CITY 2 SUBURBS, OUTSKIRTS 3 SMALL TOWN 4 COUNTRY VILLAGE 5 FARM, CNTRY HOME 8 DK 9 NA	5036
POPGRWTH	Label: Earth cannot support population growth Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	5037
IMPGRN	Label: More important in life than save environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	5038
OTHSSAME	Label: No saving environment unless others do same Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	5039
GRNEXAGG	Label: Environmental threats exaggerated Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5040
GENEGEN	Label: How dangerous modifying genes in crops Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXTREMELY DANGEROUS FOR ENVIRONMENT 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS AT ALL FOR ENVIRONMENT 8 CAN T CHOOSE 9 NA	5041
AMPROGRN	Label: American doing enough to protect environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MORE THAN ENOUGH 2 ABOUT THE RIGHT AMOUNT 3 OR, TOO LITTLE 8 CANT CHOOSE 9 NA	5042
BIZPEOP	Label: Business people do more for environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BUSINESS AND INDUSTRY 2 OR PEOPLE IN GENERAL 3 BOTH EQUALLY 8 DK 9 NA	5043
GOVTBIZ	Label: Government do more for environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOVERNMENT 2 OR BUSINESS AND INDUSTRY? 3 BOTH EQUALLY 8 CANT CHOOSE 9 NA	5044
PEOPGOVT	Label: People do more for environment than govt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PEOPLE IN GENERAL 2 OR GOVERNMENT 3 BOTH EQUALLY 8 CANT CHOOSE 9 NA	5045
GRNINTL	Label: Intl agreements for environment problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5046
LDCGRN	Label: Poor countries less than rich for environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5047
ECONGRN	Label: Economic progress dependent on environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	5048
NUKEACC	Label: Likelihood of nuclear meltdown in 5 years Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 LIKELY 3 UNLIKELY 4 VERY UNLIKELY 5 CANT CHOOSE 8 DK 9 NA	5049
INFOBIZ	Label: R trust business for pollution information Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL OF TRUST 2 QUITE A LOT OF TRUST 3 SOME TRUST 4 NOT MUCH TRUST 5 HARDLY ANY TRUST 8 DK 9 NA	5050
INFOGRN	Label: R trust environment groups for pollution information Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL OF TRUST 2 QUITE A LOT OF TRUST 3 SOME TRUST 4 NOT MUCH TRUST 5 HARDLY ANY TRUST 8 DK 9 NA	5051
INFOGOVT	Label: R trust govt for pollution information Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL OF TRUST 2 QUITE A LOT OF TRUST 3 SOME TRUST 4 NOT MUCH TRUST 5 HARDLY ANY TRUST 8 DK 9 NA	5052
INFONEWS	Label: R trust newspapers for pollution information Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL OF TRUST 2 QUITE A LOT OF TRUST 3 SOME TRUST 4 NOT MUCH TRUST 5 HARDLY ANY TRUST 8 DK	5053
INFOTV	Label: R trust radio or TV for pollution information Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL OF TRUST 2 QUITE A LOT OF TRUST 3 SOME TRUST 4 NOT MUCH TRUST 5 HARDLY ANY TRUST 8 DK 9 NA	5054
INFOCOL	Label: R trust universities for pollution information Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL OF TRUST 2 QUITE A LOT OF TRUST 3 SOME TRUST 4 NOT MUCH TRUST 5 HARDLY ANY TRUST 8 DK 9 NA	5055
EXCLDIMM	Label: America should exclude illegal immigrants Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5056
TOPPROB1	Label: Most important issue for America Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Health care 2 Education 3 Crime 4 The environment 5 Immigration 6 The economy 7 Terrorism 8 Poverty 9 None of these 98 DON'T KNOW 99 No answer	5057
TOPPROB2	Label: Next important issue Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Health care 2 Education 3 Crime 4 The environment 5 Immigration 6 The economy 7 Terrorism 8 Poverty 9 None of these 98 DON'T KNOW 99 No answer	5058
TRUST5	Label: People can or cannot be trusted Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 You can’t be too careful 5 Most people can be trusted 8 DON'T KNOW 9 No answer	5059
FAIR5	Label: People fair or not Format: F1.0 Measure: Nominal Display Width: 7 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Most people would try to take advantage 5 Most people would try to be fair 6 6 Can’t choose 8 DON'T KNOW 9 No answer	5060
GRNCON	Label: Concerned about environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not at all concerned 5 Very concerned 8 DON'T KNOW 9 No answer	5061
ENPRBUS	Label: Most important environment problem Format: F2.0 Measure: Nominal Display Width: 9 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Air pollution 2 Chemicals and pesticides 3 Water shortage 4 Water pollution 5 Nuclear waste 6 Domestic waste disposal 7 Climate change 8 Genetically modified foods 9 Using up our natural resources 10 None of these 98 DON'T KNOW 99 No answer	5062
ENPRBFAM	Label: Problem effect family most Format: F2.0 Measure: Nominal Display Width: 10 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Air pollution 2 Chemicals and pesticides 3 Water shortage 4 Water pollution 5 Nuclear waste 6 Domestic waste disposal 7 Climate change 8 Genetically modified foods 9 Using up our natural resources 10 None of these 98 DON'T KNOW 99 No answer	5063
KNWCAUSE	Label: Know causes of environment issues Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Know nothing at all 5 Know a great deal 8 DON'T KNOW 9 No answer	5064
KNOWSOL	Label: Know solutions to environment issues Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Know nothing at all 5 Know a great deal 8 DON'T KNOW 9 No answer	5065
FUTENRGY	Label: U.S. energy priorities Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Coal, oil and natural gas 2 Nuclear power 3 Solar, wind or water power 4 Fuels made from crops 5 Fuels made from waste 6 None of them 7 Can’t choose 8 DON'T KNOW 9 No answer	5066
HELPHARM	Label: Way living helps or harms Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 DON'T KNOW 9 No answer	5067
GRNEFFME	Label: Environment effect everyday life Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 DON'T KNOW 9 No answer	5068
TEMPGEN1	Label: Temperature rise from climate change Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Extremely dangerous for the environment 2 Very dangerous 3 Somewhat dangerous 4 Not very dangerous, or 5 Not dangerous at all for the environment? 8 DON'T KNOW 9 No answer	5069
BUSGRN	Label: U.S. business to protect environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Heavy fines for businesses that damage the environment 2 Use the tax system to reward businesses that protect the environment 3 More information and education for businesses about the advantages of protecting the environment 8 DON'T KNOW 9 No answer	5070
PEOPGRN	Label: How get people to protect environment Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Heavy fines for people who damage the environment 2 Use the tax system to reward people who protect the environment 3 More information and education for people about the advantages of protecting the environment 8 DON'T KNOW 9 No answer	5071
REDCEHME	Label: How often reduce fuel Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always 2 Often 3 Sometimes 4 Never 8 DON'T KNOW 9 No answer	5072
H2OLESS	Label: How often save water Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always 2 Often 3 Sometimes 4 Never 8 DON'T KNOW 9 No answer	5073
NOBUYGRN	Label: How often avoid products Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Always 2 Often 3 Sometimes 4 Never 8 DON'T KNOW 9 No answer	5074
CLSENEI	Label: How close do you feel to your neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY CLOSE 2 CLOSE 3 NOT VERY CLOSE 4 NOT CLOSE AT ALL 8 CANT CHOOSE 9 NA	5075
CLSETOWN	Label: How close do you feel to your town or city Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY CLOSE 2 CLOSE 3 NOT VERY CLOSE 4 NOT CLOSE AT ALL 8 CANT CHOOSE 9 NA	5076
CLSESTAT	Label: How close do you feel to your state Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY CLOSE 2 CLOSE 3 NOT VERY CLOSE 4 NOT CLOSE AT ALL 8 CANT CHOOSE 9 NA	5077
CLSEUSA	Label: How close do you feel to America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY CLOSE 2 CLOSE 3 NOT VERY CLOSE 4 NOT CLOSE AT ALL 8 CANT CHOOSE 9 NA	5078
CLSENOAM	Label: How close do you feel to north America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY CLOSE 2 CLOSE 3 NOT VERY CLOSE 4 NOT CLOSE AT ALL 8 CANT CHOOSE 9 NA	5079
MOVENEI	Label: Willing to move to another neighborhood Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY WILLING 2 FAIRLY WILLING 3 NEITHER WILLING NOR UNWILLING 4 FAIRLY UNWILLING 5 VERY UNWILLING 8 CANT CHOOSE 9 NA	5080
MOVETOWN	Label: Willing to move to another town or city Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY WILLING 2 FAIRLY WILLING 3 NEITHER WILLING NOR UNWILLING 4 FAIRLY UNWILLING 5 VERY UNWILLING 8 CANT CHOOSE 9 NA	5081
MOVESTAT	Label: Willing to move to another state Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY WILLING 2 FAIRLY WILLING 3 NEITHER WILLING NOR UNWILLING 4 FAIRLY UNWILLING 5 VERY UNWILLING 8 CANT CHOOSE 9 NA	5082
MOVEUSA	Label: Willing to move outside America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY WILLING 2 FAIRLY WILLING 3 NEITHER WILLING NOR UNWILLING 4 FAIRLY UNWILLING 5 VERY UNWILLING 8 CANT CHOOSE 9 NA	5083
MOVENOAM	Label: Willing to move outside north America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY WILLING 2 FAIRLY WILLING 3 NEITHER WILLING NOR UNWILLING 4 FAIRLY UNWILLING 5 VERY UNWILLING 8 CANT CHOOSE 9 NA	5084
ONENATN	Label: One nation or allowed to become fully separate? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ESSENTIAL TO REMAIN ONE NATION 2 ALLOWED TO BECOME SEPARATE 8 CANT CHOOSE 9 NA	5085
AMBORNIN	Label: How important to have been born in America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 FAIRLY IMPORTANT 3 NOT VERY IMPORTANT 4 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	5086
AMCIT	Label: How important to have American citizenship Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 FAIRLY IMPORTANT 3 NOT VERY IMPORTANT 4 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	5087
AMLIVED	Label: How important to have lived in America for life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 FAIRLY IMPORTANT 3 NOT VERY IMPORTANT 4 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	5088
AMENGLSH	Label: How important to be able to speak English Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 FAIRLY IMPORTANT 3 NOT VERY IMPORTANT 4 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	5089
AMCHRSTN	Label: How important to be a christian Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 FAIRLY IMPORTANT 3 NOT VERY IMPORTANT 4 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	5090
AMGOVT	Label: How important to respect America's laws etc Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 FAIRLY IMPORTANT 3 NOT VERY IMPORTANT 4 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	5091
AMFEEL	Label: How important to feel American Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 FAIRLY IMPORTANT 3 NOT VERY IMPORTANT 4 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	5092
AMCITIZN	Label: Agree I would rather be a citizen of America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5093
AMSHAMED	Label: Agree there are things make me ashamed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5094
BELIKEUS	Label: Agree better if people were more like Americans Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5095
AMBETTER	Label: Agree America is a better country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5096
IFWRONG	Label: Agree people should support their country Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5097
AMSPORTS	Label: Agree sports makes me proud to be an American Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5098
PROUDDEM	Label: How proud the way democracy works Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY PROUD 2 SOMEWHAT PROUD 3 NOT VERY PROUD 4 NOT PROUD AT ALL 8 CANT CHOOSE 9 NA	5099
PROUDPOL	Label: How proud its political influence in the world Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY PROUD 2 SOMEWHAT PROUD 3 NOT VERY PROUD 4 NOT PROUD AT ALL 8 CANT CHOOSE 9 NA	5100
PROUDECO	Label: How proud America's economic achievements Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY PROUD 2 SOMEWHAT PROUD 3 NOT VERY PROUD 4 NOT PROUD AT ALL 8 CANT CHOOSE 9 NA	5101
PROUDSSS	Label: How proud its social security system Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY PROUD 2 SOMEWHAT PROUD 3 NOT VERY PROUD 4 NOT PROUD AT ALL 8 CANT CHOOSE 9 NA	5102
PROUDSCI	Label: How proud its scientific and tech achievements Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY PROUD 2 SOMEWHAT PROUD 3 NOT VERY PROUD 4 NOT PROUD AT ALL 8 CANT CHOOSE 9 NA	5103
PROUDSPT	Label: How proud its achievements in sports Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY PROUD 2 SOMEWHAT PROUD 3 NOT VERY PROUD 4 NOT PROUD AT ALL 8 CANT CHOOSE 9 NA	5104
PROUDART	Label: How proud its achievements in the arts & lit. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY PROUD 2 SOMEWHAT PROUD 3 NOT VERY PROUD 4 NOT PROUD AT ALL 8 CANT CHOOSE 9 NA	5105
PROUDMIL	Label: How proud America's armed forces Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY PROUD 2 SOMEWHAT PROUD 3 NOT VERY PROUD 4 NOT PROUD AT ALL 8 CANT CHOOSE 9 NA	5106
PROUDHIS	Label: How proud its history Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY PROUD 2 SOMEWHAT PROUD 3 NOT VERY PROUD 4 NOT PROUD AT ALL 8 CANT CHOOSE 9 NA	5107
PROUDGRP	Label: How proud its fair and equal treatment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY PROUD 2 SOMEWHAT PROUD 3 NOT VERY PROUD 4 NOT PROUD AT ALL 8 CANT CHOOSE 9 NA	5108
IMPORTS	Label: America should limit the import Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5109
WRLDGOVT	Label: International bodies should enforce environment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5110
FORLANG	Label: American schools should teach foreign languages Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5111
AMOWNWAY	Label: America should follow its own interests Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5112
FORLAND	Label: ForeigneR's should not be allowed to buy land Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5113
AMTV	Label: TV should give preference to American films Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5114
AMCULT	Label: It is impossible to become fully American Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5115
MINCULT	Label: Ethnic minorities should be given gov assistance Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5116
MELTPOT1	Label: Better to maintain distinct cultures Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BETTER FOR SOCIETY MAINTAIN DISTINCT 2 BETTER IF GROUPS ADAPT AND BLEND INTO 8 DONT KNOW 9 NA	5117
IMMCRIME	Label: Immigrants increase crime rates Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5118
IMMAMECO	Label: Immigrants good for America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5119
IMMJOBS	Label: Immigrants take jobs away Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5120
IMMIDEAS	Label: Immigrants make America more open Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5121
LETIN1	Label: Number of immigrants to America nowadays should be Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 INCREASED A LOT 2 INCREASED A LITTLE 3 REMAIN THE SAME AS IT IS 4 REDUCED A LITTLE 5 REDUCED A LOT 8 CANT CHOOSE 9 NA	5122
REFUGEES	Label: Refugees should be allowed to stay in America? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5123
RES161	Label: Where spend childhood until age 16? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IN THIS COMMUNITY 2 IN A DIFFERENT COMMUNITY SAME STATE 3 IN A DIFFERENT STATE IN AMERICA 4 OUTSIDE AMERICA 8 DK 9 NA	5124
LIVECOM1	Label: How long have you lived in the community? Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	5125
ABROAD	Label: How long have you lived in other countries? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NEVER LIVED IN OTHER COUNTRIES 2 LESS THAN 1 YEAR IN ALL 3 1 TO 4 YEARS IN ALL 4 5 YEARS OR LONGER 8 DK 9 NA	5126
SPKHOME1	Label: What language(s) do you speak at home? Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 ENGLISH 2 SPANISH 3 POLISH 4 FRENCH 5 HEBREW 6 RUSSIAN 7 TAGALOG 8 CHINESE 9 URDU 10 ITALIAN 11 ROMANIAN 12 GERMAN 13 PASHTU 14 CHAMORRO 15 UKRANIAN 16 HUNGARIAN 17 TURKISH 18 KHMER 19 KOREAN 20 NAVAJO 21 MALAYAM 22 ARABIC 23 FARSI-PERSIAN 24 SERBIAN 25 LITHUANIAN 27 THAI 28 GUJARATI 30 DARI 31 SLOVAK 32 JAPANESE 33 PORTUGUESE 34 VAJUN 35 YIDDDISH 36 CREOLE 37 VIETNAMESE 38 NORWEGIAN 39 MALAYSIAN 40 LATIN 41 CZECH 42 HINDU 43 HAKKA 44 SWEDISH 45 VESAYA 46 ARMENIAN 47 AMERICAN SIGN LANGUAGE 48 CAMBODIAN 49 SPANGLISH 50 TIGRIGNA 51 ORIYA 52 HNONG 53 MARATHI 54 WOLOF 55 PANGASIAN 56 SCOTTISH 57 MACEDNIAN 58 HAWAIIAN 59 FULANI 60 GREEK 61 CAJUN 62 AKKADIAN 98 DK 99 NA	5127
SPKHOME2	Label: What language(s) do you speak at home? Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP; NO SECOND LANGUAGE 1 ENGLISH 2 SPANISH 3 POLISH 4 FRENCH 5 HEBREW 6 RUSSIAN 7 TAGALOG 8 CHINESE 9 URDU 10 ITALIAN 11 ROMANIAN 12 GERMAN 13 PASHTU 14 CHAMORRO 15 UKRANIAN 16 HUNGARIAN 17 TURKISH 18 KHMER 19 KOREAN 20 NAVAJO 21 MALAYAM 22 ARABIC 23 FARSI-PERSIAN 24 SERBIAN 25 LITHUANIAN 27 THAI 28 GUJARATI 30 DARI 31 SLOVAK 32 JAPANESE 33 PORTUGUESE 34 VAJUN 35 YIDDDISH 36 CREOLE 37 VIETNAMESE 38 NORWEGIAN 39 MALAYSIAN 40 LATIN 41 CZECH 42 HINDU 43 HAKKA 44 SWEDISH 45 VESAYA 46 ARMENIAN 47 AMERICAN SIGN LANGUAGE 48 CAMBODIAN 49 SPANGLISH 50 TIGRIGNA 51 ORIYA 52 HNONG 53 MARATHI 54 WOLOF 55 PANGASIAN 56 SCOTTISH 57 MACEDNIAN 58 HAWAIIAN 59 FULANI 60 GREEK 61 CAJUN 62 AKKADIAN 98 DK 99 NA	5128
SPKLANG1	Label: What language(s) do you speak well? Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 ENGLISH 2 SPANISH 3 POLISH 4 FRENCH 5 HEBREW 6 RUSSIAN 7 TAGALOG 8 CHINESE 9 URDU 10 ITALIAN 11 ROMANIAN 12 GERMAN 13 PASHTU 14 CHAMORRO 15 UKRANIAN 16 HUNGARIAN 17 TURKISH 18 KHMER 19 KOREAN 20 NAVAJO 21 MALAYAM 22 ARABIC 23 FARSI-PERSIAN 24 SERBIAN 25 LITHUANIAN 27 THAI 28 GUJARATI 30 DARI 31 SLOVAK 32 JAPANESE 33 PORTUGUESE 34 VAJUN 35 YIDDDISH 36 CREOLE 37 VIETNAMESE 38 NORWEGIAN 39 MALAYSIAN 40 LATIN 41 CZECH 42 HINDU 43 HAKKA 44 SWEDISH 45 VESAYA 46 ARMENIAN 47 AMERICAN SIGN LANGUAGE 48 CAMBODIAN 49 SPANGLISH 50 TIGRIGNA 51 ORIYA 52 HNONG 53 MARATHI 54 WOLOF 55 PANGASIAN 56 SCOTTISH 57 MACEDNIAN 58 HAWAIIAN 59 FULANI 60 GREEK 61 CAJUN 62 AKKADIAN 98 DK 99 NA	5129
SPKLANG2	Label: What language(s) do you speak well? Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP; NO SECOND LANGUAGE 1 ENGLISH 2 SPANISH 3 POLISH 4 FRENCH 5 HEBREW 6 RUSSIAN 7 TAGALOG 8 CHINESE 9 URDU 10 ITALIAN 11 ROMANIAN 12 GERMAN 13 PASHTU 14 CHAMORRO 15 UKRANIAN 16 HUNGARIAN 17 TURKISH 18 KHMER 19 KOREAN 20 NAVAJO 21 MALAYAM 22 ARABIC 23 FARSI-PERSIAN 24 SERBIAN 25 LITHUANIAN 27 THAI 28 GUJARATI 30 DARI 31 SLOVAK 32 JAPANESE 33 PORTUGUESE 34 VAJUN 35 YIDDDISH 36 CREOLE 37 VIETNAMESE 38 NORWEGIAN 39 MALAYSIAN 40 LATIN 41 CZECH 42 HINDU 43 HAKKA 44 SWEDISH 45 VESAYA 46 ARMENIAN 47 AMERICAN SIGN LANGUAGE 48 CAMBODIAN 49 SPANGLISH 50 TIGRIGNA 51 ORIYA 52 HNONG 53 MARATHI 54 WOLOF 55 PANGASIAN 56 SCOTTISH 57 MACEDNIAN 58 HAWAIIAN 59 FULANI 60 GREEK 61 CAJUN 62 AKKADIAN 98 DK 99 NA	5130
SPKLANG3	Label: What language(s) do you speak well? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP; NO THIRD LANGUAGE 1 ENGLISH 2 SPANISH 3 POLISH 4 FRENCH 5 HEBREW 6 RUSSIAN 7 TAGALOG 8 CHINESE 9 URDU 10 ITALIAN 11 ROMANIAN 12 GERMAN 13 PASHTU 14 CHAMORRO 15 UKRANIAN 16 HUNGARIAN 17 TURKISH 18 KHMER 19 KOREAN 20 NAVAJO 21 MALAYAM 22 ARABIC 23 FARSI-PERSIAN 24 SERBIAN 25 LITHUANIAN 27 THAI 28 GUJARATI 30 DARI 31 SLOVAK 32 JAPANESE 33 PORTUGUESE 34 VAJUN 35 YIDDDISH 36 CREOLE 37 VIETNAMESE 38 NORWEGIAN 39 MALAYSIAN 40 LATIN 41 CZECH 42 HINDU 43 HAKKA 44 SWEDISH 45 VESAYA 46 ARMENIAN 47 AMERICAN SIGN LANGUAGE 48 CAMBODIAN 49 SPANGLISH 50 TIGRIGNA 51 ORIYA 52 HNONG 53 MARATHI 54 WOLOF 55 PANGASIAN 56 SCOTTISH 57 MACEDNIAN 58 HAWAIIAN 59 FULANI 60 GREEK 61 CAJUN 62 AKKADIAN 98 DK 99 NA	5131
CITIZEN	Label: Are you a citizen of America? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5132
PARCIT	Label: Were your parents citizens of America? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BOTH WERE CITIZENS OF AMERICA 2 ONLY FATHER WAS A CITIZEN OF AMERICA 3 ONLY MOTHER WAS A CITIZEN OF AMERICA 4 NEITHER WAS A CITIZEN OF AMERICA 8 DK 9 NA	5133
ETHCLOSE	Label: How close feel to your ethnic or racial group? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY CLOSE 2 CLOSE 3 NOT VERY CLOSE 4 NOT CLOSE AT ALL 8 CANT CHOOSE 9 NA	5134
NAFTA1	Label: How much heard or read about nafta? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A LOT 2 QUITE A BIT 3 NOT MUCH 4 NOTHING AT ALL 8 DK 9 NA	5135
NAFTA2	Label: America benefits from being a member of nafta? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BENEFITS 2 DOES NOT BENEFIT 3 DONT KNOW 4 HAVE NEVER HEARD OF NAFTA 8 DK 9 NA	5136
SOCID1	Label: Most important to R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 CURRENT OCCUPATION 2 RACE ETHNIC BACKGROUND 3 GENDER 4 AGE GROUP 5 RELIGION 6 POLITICAL PARTY 7 NATIONALITY 8 FAMILY OR MARITAL STATUS 9 SOCIAL CLASS 10 REGION 98 DONT KNOW 99 NO ANSWER	5137
SOCID2	Label: Second most important to R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 CURRENT OCCUPATION 2 RACE ETHNIC BACKGROUND 3 GENDER 4 AGE GROUP 5 RELIGION 6 POLITICAL PARTY 7 NATIONALITY 8 FAMILY OR MARITAL STATUS 9 SOCIAL CLASS 10 REGION 98 DONT KNOW 99 NO ANSWER	5138
SOCID3	Label: Third most important to R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 CURRENT OCCUPATION 2 RACE ETHNIC BACKGROUND 3 GENDER 4 AGE GROUP 5 RELIGION 6 POLITICAL PARTY 7 NATIONALITY 8 FAMILY OR MARITAL STATUS 9 SOCIAL CLASS 10 REGION 98 DONT KNOW 99 NO ANSWER	5139
AMANCSTR	Label: How important to have American ancestry Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY IMPORTANT 2 FAIRLY IMPORTANT 3 NOT VERY IMPORTANT 4 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA	5140
LESSPRD	Label: Agree often less proud of America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5141
INTLINCS	Label: Large intl company damage to local business Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5142
FREETRDE	Label: Free trade leads to better products Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5143
DECSORGS	Label: America should follow decision of intl org Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5144
POWRORGS	Label: Intl orgs take away much power from American govt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5145
CITWORLD	Label: I am a citizen of the world Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't Choose 9 No answer	5146
FORCULT	Label: Exposure to foreign film damage to our culture Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5147
INTERNET	Label: Internet makes info available more people Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5148
IMMIMP	Label: Immigrants improve American society Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5149
IMMCOSTS	Label: Govt spend too much money for immigrants Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5150
KIDSHERE	Label: Parent of America born child should become citizen Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5151
KIDSAWAY	Label: Child born abroad of American should become citizen Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5152
IMMRGHTS	Label: Legal immigrants should have same right as American Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5153
AMPROUD1	Label: How proud being American Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY PROUD 2 SOMEWHAT PROUD 3 NOT VERY PROUD 4 NOT PROUD AT ALL 5 I AM NOT AMERICAN 8 CANT CHOOSE 9 NA	5154
NAFTA2A	Label: America benefits from being a member of nafta? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GREATLY BENEFITS 2 LARGELY BENEFITS 3 SOMEWHAT BENEFITS 4 BENEFITS ONLY A LITTLE 5 DOES NOT BENEFIT AT ALL 7 HAVE NEVER HEARD OF NAFTA 8 DONT KNOW 9 NA	5155
NAFTA3	Label: America should follow nafta decision Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 DISAGREE STRONGLY 8 CANT CHOOSE 9 NA	5156
SHORTCOM	Label: World better if America acknowledged shortcomings Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Agree Strongly 2 Agree 3 Neither Agree nor Disagree 4 Disagree 8 Don't know 9 No answer	5157
IMMCULT	Label: Immigrants undermine American culture Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Agree Strongly 2 Agree 3 Neither Agree nor Disagree 4 Disagree 8 Don't know 9 No answer	5158
IMMEDUC	Label: Legal immigrants should have same education as Americans Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Agree Strongly 2 Agree 3 Neither Agree nor Disagree 4 Disagree 8 Don't know 9 No answer	5159
LETIN1A	Label: Number of immigrants nowadays should be Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Increased a lot 2 Increased a little 3 Remain the same as it is 4 Reduced a little 5 Reduced a lot, or 8 Don't know 9 No answer	5160
IMMASSIM	Label: What statement about immigrants matches view Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Immigrants should retain their culture of origin and not adopt American culture 2 Immigrants should retain their culture of origin and also adopt American culture 3 Immigrants should give up their culture of origin and adopt American culture 8 Can't Choose 9 No answer	5161
PATRIOT1	Label: Patriotic feelings strengthen America's place in world Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Agree Strongly 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Disagree Strongly 8 Can't choose 9 No answer	5162
PATRIOT2	Label: Patriotic feelings lead to intolerance in America Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Agree Strongly 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Disagree Strongly 8 Can't choose 9 No answer	5163
PATRIOT3	Label: Patriotic feelings are needed for America to remain united Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Agree Strongly 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Disagree Strongly 8 Can't choose 9 No answer	5164
PATRIOT4	Label: Patriotic feelings lead to negative feelings towards immigrants Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Agree Strongly 2 Agree 3 Neither Agree nor Disagree 4 Disagree 5 Disagree Strongly 8 Can't choose 9 No answer	5165
VOTEELEC	Label: How important always to vote in elections Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5166
PAYTAXES	Label: How important never to try to evade taxes Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5167
OBEYLAWS	Label: How important always to obey laws Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5168
WATCHGOV	Label: How important to keep watch on action of govt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5169
ACTASSOC	Label: How important to be active on soc or pol association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5170
OTHREASN	Label: How important to try to undR'stnd reasoning of othr o Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5171
BUYPOL	Label: How important to choose products for pol reasons Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5172
HELPUSA	Label: How important to help worse off ppl in America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5173
HELPWRLD	Label: How important to help worse off ppl in rest of world Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5174
MILSERVE	Label: How important to serve in military when needed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5175
RELMEET	Label: Allowed to hold pub meeting for religious extremist Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Should definitely be allowed 2 Should probably be allowed 3 Should probably not be allowed 4 Should definitely not be allowed 8 CANT CHOOSE 9 NO ANSWER	5176
REVMEET	Label: Allowed to hold pub meeting for ppl who want overthrow Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Should definitely be allowed 2 Should probably be allowed 3 Should probably not be allowed 4 Should definitely not be allowed 8 CANT CHOOSE 9 NO ANSWER	5177
RACMEET	Label: Allowed to hold pub meeting for racist Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Should definitely be allowed 2 Should probably be allowed 3 Should probably not be allowed 4 Should definitely not be allowed 8 CANT CHOOSE 9 NO ANSWER	5178
SIGNDPET	Label: Signed a petition Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Have done it in the past yr 2 Have done it in the more distant past 3 Have not done it but might do it 4 Have not done it and would never do it 8 CANT CHOOSE 9 NO ANSWER	5179
AVOIDBUY	Label: Boycotted products for pol reasons Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Have done it in the past yr 2 Have done it in the more distant past 3 Have not done it but might do it 4 Have not done it and would never do it 8 CANT CHOOSE 9 NO ANSWER	5180
JOINDEM	Label: Took part in a demonstration Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Have done it in the past yr 2 Have done it in the more distant past 3 Have not done it but might do it 4 Have not done it and would never do it 8 CANT CHOOSE 9 NO ANSWER	5181
ATTRALLY	Label: Attended a political meeting or rally Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Have done it in the past yr 2 Have done it in the more distant past 3 Have not done it but might do it 4 Have not done it and would never do it 8 CANT CHOOSE 9 NO ANSWER	5182
CNTCTGOV	Label: Contacted politician or civil servant to express view Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Have done it in the past yr 2 Have done it in the more distant past 3 Have not done it but might do it 4 Have not done it and would never do it 8 CANT CHOOSE 9 NO ANSWER	5183
POLFUNDS	Label: Donated money or raised funds for soc or pol activity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Have done it in the past yr 2 Have done it in the more distant past 3 Have not done it but might do it 4 Have not done it and would never do it 8 CANT CHOOSE 9 NO ANSWER	5184
USEMEDIA	Label: Contacted in the media to express view Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Have done it in the past yr 2 Have done it in the more distant past 3 Have not done it but might do it 4 Have not done it and would never do it 8 CANT CHOOSE 9 NO ANSWER	5185
INTERPOL	Label: Joined an internet political forum Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Have done it in the past yr 2 Have done it in the more distant past 3 Have not done it but might do it 4 Have not done it and would never do it 8 CANT CHOOSE 9 NO ANSWER	5186
GRPPARTY	Label: R belongs to a political party Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Belong and actively participate 2 Belong but dont participate 3 Used to belong 4 Never belonged 8 CANT CHOOSE 9 NO ANSWER	5187
GRPWORK	Label: R belongs to a trade union or professional association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Belong and actively participate 2 Belong but dont participate 3 Used to belong 4 Never belonged 8 CANT CHOOSE 9 NO ANSWER	5188
GRPRELIG	Label: R belongs to a church or othr religious organization Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Belong and actively participate 2 Belong but dont participate 3 Used to belong 4 Never belonged 8 CANT CHOOSE 9 NO ANSWER	5189
GRPSPRTS	Label: R belongs to a sports, leisure, or cultural grp Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Belong and actively participate 2 Belong but dont participate 3 Used to belong 4 Never belonged 8 CANT CHOOSE 9 NO ANSWER	5190
GRPOTHER	Label: R belongs to another voluntary association Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Belong and actively participate 2 Belong but dont participate 3 Used to belong 4 Never belonged 8 CANT CHOOSE 9 NO ANSWER	5191
SOLOK	Label: How important: citizens have adequate standard of living Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5192
RGHTSMIN	Label: How important: govt protect right of minorities Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5193
EQTREAT	Label: How important: govt treat everybody equally Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5194
CITVIEWS	Label: How important: politician consider views of citizen Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5195
POLOPTS	Label: How important: ppl given chance to participate in decsns Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5196
OPPSEGOV	Label: How important: citizen engage in acts of civil disobeyed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOT AT ALL IMPORTANT 7 VERY IMPORTANT 8 CANT CHOOSE 9 NO ANSWER	5197
POLEFF18	Label: Govt do not care much what ppl like R think Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5198
POLEFF19	Label: R have a good understanding of pol issues Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5199
POLEFF20	Label: Most ppl are better informed about politics than R is Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5200
ACTLAW	Label: How likely R to do something if unjust law being cons Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 FAIRLY LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 CANT CHOOSE 9 NA	5201
AFFCTLAW	Label: How likely congress give serious attention to R's demands Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 FAIRLY LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 CANT CHOOSE 9 NA	5202
POLINT1	Label: How interested in politics Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY INTERESTED 2 FAIRLY INTERESTED 3 NOT VERY INTERESTED 4 NOT AT ALL INTERESTED 8 CANT CHOOSE 9 NA	5203
GOVDOOK	Label: We can trust people in govt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5204
POLGREED	Label: Most politicians are only for what get out of politics Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5205
DISCPOL	Label: How often R discuss politics Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 CANT CHOOSE 9 NO ANSWER	5206
CHNGEOTH	Label: How often R try to persuade other to share views Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OFTEN 2 SOMETIMES 3 RARELY 4 NEVER 8 CANT CHOOSE 9 NO ANSWER	5207
POWERUN	Label: How much power R think united nations have Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UN HAS TOO MUCH POWER 2 UN HAS ABOUT RIGHT AMOUNT OF POWER 3 UN HAS TOO LITTLE POWER 4 DONT KNOW WHAT UN IS 8 CANT CHOOSE 9 NO ANSWER	5208
GOVNGOS	Label: Decision left to natl govt representative or citizen or Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULD BE LEFT TO GOVT REPRESENTATIVES 2 CITIZEN ORGS SHOULD BE INVOLVED 8 CANT CHOOSE 9 NO ANSWER	5209
UNRGHTS	Label: Un should intervene if human right is seriously viola Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 UN SHOULD INTERVENE 2 UN SHOULD NOT INTERVENE 3 DONT KNOW WHAT THE UN IS 8 CANT CHOOSE 9 NO ANSWER	5210
POLACTVE	Label: Pol party encourage ppl to be active in politics in am Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5211
CHOICES	Label: Political parties don't give real policy choices Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5212
REFRNDMS	Label: Referendum are good way to decide important pol quest Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5213
ELECVOTE	Label: How honest last natl election: counting of votes Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY HONEST 2 SOMEWHAT HONEST 3 NEITHER HONEST NOR DISHONEST 4 SOMEWHAT DISHONEST 5 VERY DISHONEST 8 CANT CHOOSE 9 NA	5214
ELECFAIR	Label: How fair last natl election: opprtunities of candidate Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY FAIR 2 SOMEWHAT FAIR 3 NEITHER FAIR NOR UNFAIR 4 SOMEWHAT UNFAIR 5 VERY UNFAIR 8 CANT CHOOSE 9 NA	5215
SERVEPEO	Label: How committed govt admnstratoR's are to serve people Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY COMMITTED 2 SOMEWHAT COMMITTED 3 NOT VERY COMMITTED 4 NOT AT ALL COMMITTED 8 CANT CHOOSE 9 NA	5216
FIXMISTK	Label: How likely govt admnstrtoR's be corrected when making Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 CANT CHOOSE 9 NA	5217
CORRUPTN	Label: How widespread corruption is in pub service in America Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Hardly anyone is involved 2 A small number of people are involved 3 A moderate number of people are involved 4 A lot of people are involved 5 Almost everyone is involved 8 CANT CHOOSE 9 NA	5218
DEMTODAY	Label: How well democracy work in America Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 VERY POORLY 10 VERY WELL 98 CANT CHOOSE 99 NA	5219
DEM10PST	Label: How well did democracy work in America ten yrs ago Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 VERY POORLY 10 VERY WELL 98 CANT CHOOSE 99 NA	5220
DEM10FUT	Label: How well will democracy work in America in ten yrs Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 VERY POORLY 10 VERY WELL 98 CANT CHOOSE 99 NA	5221
DEMRGHTS	Label: Democratic rghts shouldn't be restricted by govt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SHOULDNT BE RESTRICTED BY GOVT 2 SHOULD BE RESTRICTED IF GOVT THINK NECESSARY 8 CANT CHOOSE 9 NA	5222
GVTRGHTS	Label: Govt should respect democratic rights Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not at all important 7 Very important 8 DON'T KNOW 9 No answer	5223
POLINTER	Label: Expressed political views on internet past year Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Have done it in the past year 2 Have done it in the more distant past 3 Have not done it but might do it 4 Have not done it and would never do it 8 Can't Choose 9 No answer	5224
POLNEWS	Label: How often use media to get political news Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Several times a day 2 Once a day 3 5-6 days a week 4 3-4 days a week 5 1-2 days a week 6 Less than 1 day a week 7 Never 8 Can’t choose 9 No answer	5225
CRIMLOSE	Label: People convicted of serious crimes lose citizen rights Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not at all important 7 Very Imporant 8 Can't Choose 9 No answer	5226
NTCITVTE	Label: Long-term residents should vote Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not at all important 7 Very Imporant 8 Can't Choose 9 No answer	5227
NOTVOTE	Label: Citizens have right not to vote Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not at all important 7 Very Imporant 8 Can't Choose 9 No answer	5228
HLTHALL	Label: Healthcare provided for everyone Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not at all important 7 Very Imporant 8 Can't Choose 9 No answer	5229
LEFTRGHT	Label: How left or right in politics Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 Left 10 Right 98 Don't know 99 No answer	5230
CREATION	Label: View about origin and development of man Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOD CREATED MAN 2 MAN HAS EVOLVED 3 MAN HAS EVOLVED, BUT GOD GUIDED 4 OTHER 8 CANT CHOOSE 9 NA	5231
SCITESTY	Label: Human beings developed from earlier species of animal Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely true 2 Probably true 3 Probably not true 4 Definitely not true 8 CANT CHOOSE 9 NA	5232
BIG5A1	Label: R see oneself as someone who Is Reserved Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	5233
BIG5B1	Label: R see oneself as someone who is generally trusted Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	5234
BIG5C1	Label: R see oneself as someone who does a thorough job Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	5235
BIG5D1	Label: R see oneself as someone who Is Relaxed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	5236
BIG5E1	Label: R see oneself as someone who has an active imagination Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	5237
BIG5A2	Label: R see oneself as someone who is sociable Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	5238
BIG5B2	Label: R see oneself as someone who tends to find fault with others Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	5239
BIG5C2	Label: R see oneself as someone who tends to be lazy Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	5240
BIG5D2	Label: R see oneself as someone who gets nervous easily Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	5241
BIG5E2	Label: R see oneself as someone who has few artistic interests Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Strongly disagree 8 CANT CHOOSE 9 NA	5242
FORBDCOM	Label: Forbid communist to speak Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES FORBID 2 NO NOT FORBID 8 DK 9 NA	5243
FORBDRAC	Label: Forbid racist to speak Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES FORBID 2 NO NOT FORBID 8 DK 9 NA	5244
FORBDMAR	Label: Forbids racial intermarriage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FORBID MARRIAGE 2 NOT FORBID MAR 8 DK 9 NA	5245
ALLOWCOM	Label: Allow communist to speak Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES,ALLOW 2 NO, NOT ALLOW 8 DK 9 NA	5246
ALLOWRAC	Label: Allow racist to speak Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES,ALLOW 2 NO, NOT ALLOW 8 DK 9 NA	5247
ALLOWMAR	Label: Allow racial intermarriage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ALLOW MARRIAGE 2 NOT ALLOW MARRIAGE 8 DK 9 NA	5248
CIDEKNEW	Label: #People R knows murdered in last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DK 9 NA	5249
CIDEWHO	Label: R's relationship to closest murderee Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HUSBAND OR WIFE 2 PARTNER OR LOVER 3 SON OR DAUGHTER 4 OTHER RELATIVE 5 FRIEND 6 NEIGHBOR 7 CO-WORKER 8 ACQUAINTANCE 9 PATIENT 10 OTHER 98 DK 99 NA	5250
CIDESEX	Label: Sex of murder victim closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5251
CIDEAGE	Label: Age of murder victim closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 10 YEARS OR UNDER 2 11-20 3 21-40 4 41 YEAR OR OLDER 8 DK 9 NA	5252
CIDERACE	Label: Race of murder victim closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BLACK 2 WHITE 3 HISPANIC 4 OTHER 8 DK 9 NA	5253
CIDEREG	Label: Region of murder victim closest to R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 FOREIGN 1 NEW ENGLAND 2 MIDDLE ATLANTIC 3 E. NOR. CENTRAL 4 W. NOR. CENTRAL 5 SOUTH ATLANTIC 6 E. SOU. CENTRAL 7 W. SOU. CENTRAL 8 MOUNTAIN 9 PACIFIC 98 DK 99 NA	5254
CIDEWHO2	Label: R's relationship to 2nd closest murderee Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HUSBAND OR WIFE 2 PARTNER OR LOVER 3 SON OR DAUGHTER 4 OTHER RELATIVE 5 FRIEND 6 NEIGHBOR 7 CO-WORKER 8 ACQUAINTANCE 9 PATIENT 10 OTHER 98 DK 99 NA	5255
CIDESEX2	Label: Sex of murder victim 2nd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5256
CIDEAGE2	Label: Age of murder victim 2nd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 10 YEARS OR UNDER 2 11-20 3 21-40 4 41 YEAR OR OLDER 8 DK 9 NA	5257
CIDERAC2	Label: Race of murder victim 2nd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BLACK 2 WHITE 3 HISPANIC 4 OTHER 8 DK 9 NA	5258
CIDEREG2	Label: Region of murder victim 2nd closest to R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 FOREIGN 1 NEW ENGLAND 2 MIDDLE ATLANTIC 3 E. NOR. CENTRAL 4 W. NOR. CENTRAL 5 SOUTH ATLANTIC 6 E. SOU. CENTRAL 7 W. SOU. CENTRAL 8 MOUNTAIN 9 PACIFIC 98 DK 99 NA	5259
CIDEWHO3	Label: R's relationship to 3rd closest murderee Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HUSBAND OR WIFE 2 PARTNER OR LOVER 3 SON OR DAUGHTER 4 OTHER RELATIVE 5 FRIEND 6 NEIGHBOR 7 CO-WORKER 8 ACQUAINTANCE 9 PATIENT 10 OTHER 98 DK 99 NA	5260
CIDESEX3	Label: Sex of murder victim 3rd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5261
CIDEAGE3	Label: Age of murder victim 3rd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 10 YEARS OR UNDER 2 11-20 3 21-40 4 41 YEAR OR OLDER 8 DK 9 NA	5262
CIDERAC3	Label: Race of murder victim 3rd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BLACK 2 WHITE 3 HISPANIC 4 OTHER 8 DK 9 NA	5263
CIDEREG3	Label: Region of murder victim 3rd closest to R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 FOREIGN 1 NEW ENGLAND 2 MIDDLE ATLANTIC 3 E. NOR. CENTRAL 4 W. NOR. CENTRAL 5 SOUTH ATLANTIC 6 E. SOU. CENTRAL 7 W. SOU. CENTRAL 8 MOUNTAIN 9 PACIFIC 98 DK 99 NA	5264
AIDSKNOW	Label: #People R knows infected with AIDS Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 7 OR MORE 8 DK 9 NA	5265
AIDSWHO	Label: R's relationship to closest AIDS victim Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HUSBAND OR WIFE 2 PARTNER OR LOVER 3 SON OR DAUGHTER 4 OTHER RELATIVE 5 FRIEND 6 NEIGHBOR 7 CO-WORKER 8 ACQUAINTANCE 9 PATIENT 10 OTHER 98 DK 99 NA	5266
AIDSDEAD	Label: Has AIDS victim closest to R died Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIVING 2 DIED 8 DK 9 NA	5267
AIDSSEX	Label: Sex of AIDS victim closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5268
AIDSAGE	Label: Age of AIDS victim closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 10 YEARS OR UNDER 2 11-20 3 21-40 4 41 YEAR OR OLDER 8 DK 9 NA	5269
AIDSRACE	Label: Race of AIDS victim closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BLACK 2 WHITE 3 HISPANIC 4 OTHER 8 DK 9 NA	5270
AIDSREG	Label: Region of AIDS victim closest to R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 FOREIGN 1 NEW ENGLAND 2 MIDDLE ATLANTIC 3 E. NOR. CENTRAL 4 W. NOR. CENTRAL 5 SOUTH ATLANTIC 6 E. SOU. CENTRAL 7 W. SOU. CENTRAL 8 MOUNTAIN 9 PACIFIC 98 DK 99 NA	5271
AIDSWHO2	Label: R's relation. to 2nd closest AIDS victim Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HUSBAND OR WIFE 2 PARTNER OR LOVER 3 SON OR DAUGHTER 4 OTHER RELATIVE 5 FRIEND 6 NEIGHBOR 7 CO-WORKER 8 ACQUAINTANCE 9 PATIENT 10 OTHER 98 DK 99 NA	5272
AIDSDED2	Label: Has AIDS victim 2nd closest to R died Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIVING 2 DIED 8 DK 9 NA	5273
AIDSSEX2	Label: Sex of AIDS victim 2nd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5274
AIDSAGE2	Label: Age of AIDS victim 2nd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 10 YEARS OR UNDER 2 11-20 3 21-40 4 41 YEAR OR OLDER 8 DK 9 NA	5275
AIDSRAC2	Label: Race of AIDS victim 2nd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BLACK 2 WHITE 3 HISPANIC 4 OTHER 8 DK 9 NA	5276
AIDSREG2	Label: Region of AIDS victim 2nd closest to R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 FOREIGN 1 NEW ENGLAND 2 MIDDLE ATLANTIC 3 E. NOR. CENTRAL 4 W. NOR. CENTRAL 5 SOUTH ATLANTIC 6 E. SOU. CENTRAL 7 W. SOU. CENTRAL 8 MOUNTAIN 9 PACIFIC 98 DK 99 NA	5277
AIDSWHO3	Label: R's relat. to 3rd closest AIDS victim to R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HUSBAND OR WIFE 2 PARTNER OR LOVER 3 SON OR DAUGHTER 4 OTHER RELATIVE 5 FRIEND 6 NEIGHBOR 7 CO-WORKER 8 ACQUAINTANCE 9 PATIENT 10 OTHER 98 DK 99 NA	5278
AIDSDED3	Label: Has AIDS victim 3rd closest to R died Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIVING 2 DIED 8 DK 9 NA	5279
AIDSSEX3	Label: Sex of AIDS victim 3rd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5280
AIDSAGE3	Label: Age of AIDS victim 3rd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 10 YEARS OR UNDER 2 11-20 3 21-40 4 41 YEAR OR OLDER 8 DK 9 NA	5281
AIDSRAC3	Label: Race of AIDS victim 3rd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BLACK 2 WHITE 3 HISPANIC 4 OTHER 8 DK 9 NA	5282
AIDSREG3	Label: Region of AIDS victim 3rd closest to R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 FOREIGN 1 NEW ENGLAND 2 MIDDLE ATLANTIC 3 E. NOR. CENTRAL 4 W. NOR. CENTRAL 5 SOUTH ATLANTIC 6 E. SOU. CENTRAL 7 W. SOU. CENTRAL 8 MOUNTAIN 9 PACIFIC 98 DK 99 NA	5283
SUIKNEW	Label: #People R knows suicide in last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 7 SEVEN OR MORE 8 DK 9 NA	5284
SUIWHO	Label: R's relationship to closest suicide Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HUSBAND OR WIFE 2 PARTNER OR LOVE 3 SON OR DAUGHTER 4 OTHER RELATIVE 5 FRIEND 6 NEIGHBOR 7 CO-WORKER 8 ACQUAINTANCE 9 PATIENT 10 OTHER 98 DK 99 NA	5285
SUISEX	Label: Sex of suicide victim closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5286
SUIAGE	Label: Age of suicide victim closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 10 YEARS OR UNDER 2 11-20 3 21-40 4 41 YEAR OR OLDER 8 DK 9 NA	5287
SUIRACE	Label: Race of suicide victim closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BLACK 2 WHITE 3 HISPANIC 4 OTHER 8 DK 9 NA	5288
SUIREG	Label: Region of suicide victim closest to R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 FOREIGN 1 NEW ENGLAND 2 MIDDLE ATLANTIC 3 E. NOR. CENTRAL 4 W. NOR. CENTRAL 5 SOUTH ATLANTIC 6 E. SOU. CENTRAL 7 W. SOU. CENTRAL 8 MOUNTAIN 9 PACIFIC 98 DK 99 NA	5289
SUIWHO2	Label: R's relationship to 2nd closest suicide Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HUSBAND OR WIFE 2 PARTNER OR LOVE 3 SON OR DAUGHTER 4 OTHER RELATIVE 5 FRIEND 6 NEIGHBOR 7 CO-WORKER 8 ACQUAINTANCE 9 PATIENT 10 OTHER 98 DK 99 NA	5290
SUISEX2	Label: Sex of suicide victim 2nd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5291
SUIAGE2	Label: Age of suicide victim 2nd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 10 YEARS OR UNDER 2 11-20 3 21-40 4 41 YEAR OR OLDER 8 DK 9 NA	5292
SUIRAC2	Label: Race of suicide victim 2nd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BLACK 2 WHITE 3 HISPANIC 4 OTHER 8 DK 9 NA	5293
SUIREG2	Label: Region of suicide victim 2nd closest to R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 FOREIGN 1 NEW ENGLAND 2 MIDDLE ATLANTIC 3 E. NOR. CENTRAL 4 W. NOR. CENTRAL 5 SOUTH ATLANTIC 6 E. SOU. CENTRAL 7 W. SOU. CENTRAL 8 MOUNTAIN 9 PACIFIC 98 DK 99 NA	5294
SUIWHO3	Label: R's relationship to 3rd closest suicide Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HUSBAND OR WIFE 2 PARTNER OR LOVE 3 SON OR DAUGHTER 4 OTHER RELATIVE 5 FRIEND 6 NEIGHBOR 7 CO-WORKER 8 ACQUAINTANCE 9 PATIENT 10 OTHER 98 DK 99 NA	5295
SUISEX3	Label: Sex of suicidevictim 3rd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5296
SUIAGE3	Label: Age of suicide victim 3rd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 10 YEARS OR UNDER 2 11-20 3 21-40 4 41 YEAR OR OLDER 8 DK 9 NA	5297
SUIRAC3	Label: Race of suicide victim 3rd closest to R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 BLACK 2 WHITE 3 HISPANIC 4 OTHER 8 DK 9 NA	5298
SUIREG3	Label: Region of suicide victim 3rd closest to R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 FOREIGN 1 NEW ENGLAND 2 MIDDLE ATLANTIC 3 E. NOR. CENTRAL 4 W. NOR. CENTRAL 5 SOUTH ATLANTIC 6 E. SOU. CENTRAL 7 W. SOU. CENTRAL 8 MOUNTAIN 9 PACIFIC 98 DK 99 NA	5299
AIDSSCH	Label: Prohibit AIDS-students at public schools Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SUPPORT 2 OPPOSE 8 NO OPINION 9 NA	5300
AIDSADS	Label: Have govt info pgm on safe sex practices Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SUPPORT 2 OPPOSE 8 NO OPINION 9 NA	5301
AIDSINSR	Label: Allow insurer's to test applicant for AIDS Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SUPPORT 2 OPPOSE 8 NO OPINION 9 NA	5302
AIDSHLTH	Label: Have govt pay for all AIDS health care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SUPPORT 2 OPPOSE 8 NO OPINION 9 NA	5303
AIDSMAR	Label: Have testing for AIDS before marriage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SUPPORT 2 OPPOSE 8 NO OPINION 9 NA	5304
AIDSSXED	Label: Public schools teach safe sex practices Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SUPPORT 2 OPPOSE 8 NO OPINION 9 NA	5305
AIDSIDS	Label: Require AIDS victims to wear id tags Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SUPPORT 2 OPPOSE 8 NO OPINION 9 NA	5306
AIDSFARE	Label: Pay AIDS victims disability benefits Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SUPPORT 2 OPPOSE 8 NO OPINION 9 NA	5307
PARTNERS	Label: How many sex partner's R had in last year Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 NO PARTNERS 1 1 PARTNER 2 2 PARTNERS 3 3 PARTNERS 4 4 PARTNERS 5 5-10 PARTNERS 6 11-20 PARTNERS 7 21-100 PARTNERS 8 MORE THAN 100 PARTNERS 9 1 OR MORE, # unknown 95 SEVERAL 98 DK 99 NA	5308
MATESEX	Label: Was 1 of R's partner's spouse or regular Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5309
FRNDSEX	Label: R had sex with friend last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HAD SEX WITH FRIEND 2 NOT SELECTED 8 DK 9 NA	5310
ACQNTSEX	Label: R had sex with acquaintance last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 SEX W ACQUAINTANCE 2 NOT SELECTED 8 DK 9 NA	5311
PIKUPSEX	Label: R had sex with casual date last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HAD SEX WITH PICK-UP 2 NOT SELECTED 8 DK 9 NA	5312
PAIDSEX	Label: R had sex for pay last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HAD SEX FOR PAY 2 NOT SELECTED 8 DK 9 NA	5313
OTHERSEX	Label: R had sex with some other last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HAD SEX WITH OTHER 2 NOT SELECTED 8 DK 9 NA	5314
SEXSEX	Label: Sex of sex partner's in last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXCLUSIVELY MALE 2 BOTH MALE AND FEMALE 3 EXCLUSIVELY FEMALE 8 DK 9 NA	5315
SEXFREQ	Label: Frequency of sex during last year Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NOT AT ALL 1 ONCE OR TWICE 2 ONCE A MONTH 3 2-3 TIMES A MONTH 4 WEEKLY 5 2-3 PER WEEK 6 4+ PER WEEK 8 DK 9 NA	5316
SEXFREQ1	Label: Had sex in last month Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 N0 8 DONT KNOW 9 NA	5317
SEXFREQ2	Label: Number of times, sex last month Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DONT KNOW 99 NA	5318
NUMWOMEN	Label: Number of female sex partner's since 18 Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 989 989 OR HIGHER 990 DASH OR SLASH 991 SOME,1+ 992 X 993 GARBLED TEXT 994 SEVERAL 995 MANY,LOTS 996 N.A 997 REFUSED 998 DK 999 NA	5319
NUMMEN	Label: Number of male sex partner's since 18 Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 989 989 OR HIGHER 990 DASH OR SLASH 991 SOME,1+ 992 X 993 GARBLED TEXT 994 SEVERAL 995 MANY,LOTS 996 N.A 997 REFUSED 998 DK 999 NA	5320
PARTOPEN	Label: Number of sex partner's last year Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 990 - 997 REFUSED 998 DK 999 NA	5321
PARTOPN5	Label: Number of sex partner's last 5 years Format: F3.0 Measure: Scale Display Width: 8 Missing Values: -1; 998; 999 Value Label -1 IAP 990 - 997 REFUSED 998 DK 999 NA	5322
PARTNRS5	Label: How many sex partner's R had in last 5 years Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 0 NO PARTNERS 1 1 PARTNER 2 2 PARTNERS 3 3 PARTNERS 4 4 PARTNERS 5 5-10 PARTNERS 6 11-20 PARTNERS 7 21-100 PARTNERS 8 MORE THAN 100 PARTNERS 9 1 OR MORE, # unknown 95 SEVERAL 98 DK 99 NA	5323
SEXSEX5	Label: Sex of sex partner's last five years Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXCLUSIVELY MALE 2 BOTH MALE AND FEMALE 3 EXCLUSIVELY FEMALE 8 DK 9 NA	5324
EVPAIDSX	Label: EveR have sex paid for or being paid since 18 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5325
EVSTRAY	Label: Have sex other than spouse while married Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 3 NEVER MARRIED 8 DK 9 NA	5326
CONDOM	Label: Used condom last time Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 USED LAST TIME 2 NOT USED 8 DK 9 NA	5327
RELATSEX	Label: Relation to last sex partner Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, IN RELATIONSHIP 2 NO, NO RELATIONSHIP 8 DK 9 NA	5328
EVIDU	Label: R ever inject drugs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5329
IDU30	Label: R inject drugs in past 30 days Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WITHIN THE PAST 30 DAYS 2 MORE THAN 30 DAYS AGO BUT WITHIN THE PAST 12 MONTHS 3 MORE THAN 12 MONTHS AGO BUT WITHIN THE PAST 3 YEARS 4 MORE THAN 3 YEARS AGO 8 DK 9 NA	5330
EVCRACK	Label: R ever use crack cocaine Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5331
CRACK30	Label: R last use crack cocaine Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WITHIN THE PAST 30 DAYS 2 MORE THAN 30 DAYS AGO BUT WITHIN THE PAST 12 MONTHS 3 MORE THAN 12 MONTHS AGO BUT WITHIN THE PAST 3 YEARS 4 MORE THAN 3 YEARS AGO 8 DK 9 NA	5332
HIVTEST	Label: Have you ever been tested for HIV Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DK 9 NA	5333
HIVTEST1	Label: In what month and year was your last HIV test Format: F6.0 Measure: Scale Display Width: 8 Missing Values: 0; 999898; 999999 Value Label 0 IAP 198001 Jan 1980 198099 NA 1980 198299 NA 1982 198503 Mar 1985 198599 NA 1985 198698 DK 1986 198699 NA 1986 198799 NA 1987 198999 NA 1989 199006 Jun 1990 199098 DK 1990 199099 NA 1990 199198 DK 1991 199199 NA 1991 199298 DK 1992 199299 NA 1992 199398 DK 1993 199399 NA 1993 199498 DK 1994 199499 NA 1994 199509 Sep 1995 199598 DK 1995 199599 NA 1995 199698 DK 1996 199699 NA 1996 199798 DK 1997 199799 NA 1997 199898 DK 1998 199899 NA 1998 199998 DK 1999 199999 NA 1999 200098 DK 2000 200099 NA 2000 200198 DK 2001 200199 NA 2001 200298 DK 2002 200299 NA 2002 200398 DK 2003 200399 NA 2003 200498 DK 2004 200499 NA 2004 200598 DK 2005 200599 NA 2005 200612 Dec 2006 200698 DK 2006 200699 NA 2006 999898 DK DK 999999 NA NA	5334
HIVTEST2	Label: Where did you have your last HIV test Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Private doctor or HMO office 2 Counselling and testing site 3 Hospital 4 Clinic 5 Jail or prison 6 Home 7 Somewhere else 8 DK 9 NA	5335
AIDSLOOK	Label: A health-look person may have AIDS Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 Don't know 9 No answer	5336
AIDSCNDM	Label: Condom can reduce AIDS Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 Don't know 9 No answer	5337
HIVVAC	Label: There is a vaccine that can prevent HIV Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 Don't know 9 No answer	5338
HIVKISS	Label: Kiss can spread HIV Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 True 2 False 8 Don't know 9 No answer	5339
SEXORNT	Label: Sexual orientation Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Gay, lesbian, or homosexual 2 Bisexual 3 Heterosexual or straight 8 DONT KNOW 9 NA	5340
SIBORDER	Label: Birth order Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 95 ONLY CHILD 98 DK 99 NA	5341
GENETEST	Label: Know about genetic testing Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 NOT VERY MUCH 3 NOTHING AT ALL 7 REFUSED 8 DONT KNOW 9 NA	5342
GENETST1	Label: Know about genetic testing Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A GREAT DEAL 2 NOT VERY MUCH 3 NOTHING AT ALL 7 REFUSED 8 DONT KNOW 9 NA	5343
GENEGOOD	Label: Genetic testing good or harm Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOOD > HARM 2 HARM > GOOD 3 IT DEPENDS 7 REFUSED 8 DONT KNOW 9 NA	5344
GENEGOO1	Label: Genetic testing good or harm Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HARM > GOOD 2 GOOD > HARM 7 REFUSED 8 DONT KNOW 9 NA	5345
GENEGOO2	Label: Genetic testing good or harm Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GOOD > HARM 2 HARM > GOOD 8 DONT KNOW 9 NA	5346
GENESELF	Label: Would genetically test fetus Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HAVE TEST 2 NOT HAVE TEST 7 REFUSED 8 DONT KNOW 9 NA	5347
GENEABRT	Label: Abort defective fetus Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HAVE ABORTION 2 NO ABORTION 7 REFUSED 8 DONT KNOW 9 NA	5348
GENEDEF1	Label: Meaning of serious genetic defect Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 DOWNS SYNDROME 2 MENTAL RETARDATION 3 SPINA BIFIDA 4 MUSCULAR DYSTROPHY 5 CYSTIC FIBROSIS 6 CEREBRAL PALSY 7 CRIPPLING DISEASES 10 BLIND,DEAF 11 MISSING LIMBS 12 MAJOR DEFORMITIES 13 LIFE-THREATENING DEFORM 14 HANDICAPPED 15 PHYSICAL DEFECTS 20 SICKLE CELL ANEMIA 21 RH FACTOR 22 HEMOPHILIA 30 ADDICTION TO DRUGS 31 AIDS 35 MULTIPLE SCLEROSIS 60 HEART 61 KIDNEYS 62 SIAMESE TWINS 70 INCURABLE DISEASE 71 TOURETTES SYNDROME 72 SEXUAL TRANSMITTED DISEASES 73 DIABETES 74 BIRTH DEFECTS 75 CANCER 76 PSYCHOLOGICAL PROBLEMS 77 NEUROLOGICAL PROBLEMS 78 HYDROCEPHALUS 79 HUNTINGTONS CHOREA 80 TAY-SACHS 81 REYES SYNDROME 90 UNABLE TO TAKE CARE OF SELF 95 OTHER 98 DONT KNOW 99 NA	5349
GENEDEF2	Label: Meaning of serious genetic defect Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 DOWNS SYNDROME 2 MENTAL RETARDATION 3 SPINA BIFIDA 4 MUSCULAR DYSTROPHY 5 CYSTIC FIBROSIS 6 CEREBRAL PALSY 7 CRIPPLING DISEASES 10 BLIND,DEAF 11 MISSING LIMBS 12 MAJOR DEFORMITIES 13 LIFE-THREATENING DEFORM 14 HANDICAPPED 15 PHYSICAL DEFECTS 20 SICKLE CELL ANEMIA 21 RH FACTOR 22 HEMOPHILIA 30 ADDICTION TO DRUGS 31 AIDS 35 MULTIPLE SCLEROSIS 60 HEART 61 KIDNEYS 62 SIAMESE TWINS 70 INCURABLE DISEASE 71 TOURETTES SYNDROME 72 SEXUAL TRANSMITTED DISEASES 73 DIABETES 74 BIRTH DEFECTS 75 CANCER 76 PSYCHOLOGICAL PROBLEMS 77 NEUROLOGICAL PROBLEMS 78 HYDROCEPHALUS 79 HUNTINGTONS CHOREA 80 TAY-SACHS 81 REYES SYNDROME 90 UNABLE TO TAKE CARE OF SELF 95 OTHER 98 DONT KNOW 99 NA	5350
GENEDEF3	Label: Meaning of serious genetic defect Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 DOWNS SYNDROME 2 MENTAL RETARDATION 3 SPINA BIFIDA 4 MUSCULAR DYSTROPHY 5 CYSTIC FIBROSIS 6 CEREBRAL PALSY 7 CRIPPLING DISEASES 10 BLIND,DEAF 11 MISSING LIMBS 12 MAJOR DEFORMITIES 13 LIFE-THREATENING DEFORM 14 HANDICAPPED 15 PHYSICAL DEFECTS 20 SICKLE CELL ANEMIA 21 RH FACTOR 22 HEMOPHILIA 30 ADDICTION TO DRUGS 31 AIDS 35 MULTIPLE SCLEROSIS 60 HEART 61 KIDNEYS 62 SIAMESE TWINS 70 INCURABLE DISEASE 71 TOURETTES SYNDROME 72 SEXUAL TRANSMITTED DISEASES 73 DIABETES 74 BIRTH DEFECTS 75 CANCER 76 PSYCHOLOGICAL PROBLEMS 77 NEUROLOGICAL PROBLEMS 78 HYDROCEPHALUS 79 HUNTINGTONS CHOREA 80 TAY-SACHS 81 REYES SYNDROME 90 UNABLE TO TAKE CARE OF SELF 95 OTHER 98 DONT KNOW 99 NA	5351
PARHARDR	Label: Being parent now harder Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	5352
PARWORSE	Label: Parents doing worse than before Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	5353
PARRGHT	Label: Parents unsure what is right Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	5354
PARWHERE	Label: Parents don't know where kids are Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	5355
PARFIN	Label: Hard for parents to make ends meet Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	5356
PARGOVT	Label: Govt too involved in family life Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	5357
PARTIME	Label: Parents don't spend time with kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	5358
PARWORK	Label: If parents work, kids get in trouble Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	5359
PARTAXES	Label: Taxes reduce childbearing Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA	5360
ROLEMA	Label: Role of mothers with kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY GOOD 2 GOOD 3 FAIRLY GOOD 4 FAIRLY BAD 5 VERY BAD 8 DONT KNOW 9 NA	5361
ROLEPA	Label: Role of father's with kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY GOOD 2 GOOD 3 FAIRLY GOOD 4 FAIRLY BAD 5 VERY BAD 8 DONT KNOW 9 NA	5362
ROLEGP	Label: Role of grandparents with kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY GOOD 2 GOOD 3 FAIRLY GOOD 4 FAIRLY BAD 5 VERY BAD 8 DONT KNOW 9 NA	5363
ROLECCP	Label: Role of childcare provdrs with kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY GOOD 2 GOOD 3 FAIRLY GOOD 4 FAIRLY BAD 5 VERY BAD 8 DONT KNOW 9 NA	5364
ROLETCHR	Label: Role of teachers with kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY GOOD 2 GOOD 3 FAIRLY GOOD 4 FAIRLY BAD 5 VERY BAD 8 DONT KNOW 9 NA	5365
ROLECLRG	Label: Role of clergy with kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY GOOD 2 GOOD 3 FAIRLY GOOD 4 FAIRLY BAD 5 VERY BAD 8 DONT KNOW 9 NA	5366
CHLDEDUC	Label: Education improving? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 BETTER 3 ABOUT THE SAME 4 WORSE 5 MUCH WORSE 8 DONT KNOW 9 NA	5367
CHLDLOVE	Label: Love improving? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 BETTER 3 ABOUT THE SAME 4 WORSE 5 MUCH WORSE 8 DONT KNOW 9 NA	5368
CHLDSAFE	Label: Neighborhood safety improving? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 BETTER 3 ABOUT THE SAME 4 WORSE 5 MUCH WORSE 8 DONT KNOW 9 NA	5369
CHLDMORL	Label: Moral-religious training improving? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 BETTER 3 ABOUT THE SAME 4 WORSE 5 MUCH WORSE 8 DONT KNOW 9 NA	5370
CHLDSUP	Label: Supervision improving? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 BETTER 3 ABOUT THE SAME 4 WORSE 5 MUCH WORSE 8 DONT KNOW 9 NA	5371
CHLDHOME	Label: Housing improving? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 BETTER 3 ABOUT THE SAME 4 WORSE 5 MUCH WORSE 8 DONT KNOW 9 NA	5372
CHLDHLTH	Label: Health care improving? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 BETTER 3 ABOUT THE SAME 4 WORSE 5 MUCH WORSE 8 DONT KNOW 9 NA	5373
CHLDSKLS	Label: Acquiring job skills improving? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 BETTER 3 ABOUT THE SAME 4 WORSE 5 MUCH WORSE 8 DONT KNOW 9 NA	5374
CHLDTIME	Label: Time with kids improving? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MUCH BETTER 2 BETTER 3 ABOUT THE SAME 4 WORSE 5 MUCH WORSE 8 DONT KNOW 9 NA	5375
INFFILMS	Label: Influence of movies Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY POSITIVE 2 POSITIVE 3 NEUTRAL 4 NEGATIVE 5 VERY NEGATIVE 8 DONT KNOW 9 NA	5376
INFPUBTV	Label: Influence of children's programs on public TV Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY POSITIVE 2 POSITIVE 3 NEUTRAL 4 NEGATIVE 5 VERY NEGATIVE 8 DONT KNOW 9 NA	5377
INFNETTV	Label: Influence of programs on network TV Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY POSITIVE 2 POSITIVE 3 NEUTRAL 4 NEGATIVE 5 VERY NEGATIVE 8 DONT KNOW 9 NA	5378
INFADSTV	Label: Influence of TV ads Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY POSITIVE 2 POSITIVE 3 NEUTRAL 4 NEGATIVE 5 VERY NEGATIVE 8 DONT KNOW 9 NA	5379
INFMUSIC	Label: Influence of rock & roll Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY POSITIVE 2 POSITIVE 3 NEUTRAL 4 NEGATIVE 5 VERY NEGATIVE 8 DONT KNOW 9 NA	5380
SPPREGNT	Label: Spending for prenatal care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP-NO ISSP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	5381
SPHLTHKD	Label: Spending for health care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP-NO ISSP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	5382
SPHEADST	Label: Spending for head start Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP-NO ISSP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	5383
SPPOORKD	Label: Spending for childcare for poor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP-NO ISSP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	5384
SPWRKPAR	Label: Spending for childcare for wrkeR's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP-NO ISSP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	5385
SPHOMEKD	Label: Spending for housing Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP-NO ISSP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	5386
SPDSABKD	Label: Spending for disabled kids Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP-NO ISSP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	5387
SPDRUGS	Label: Spending for drug treatment Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP-NO ISSP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	5388
SPFOODKD	Label: Spending for food, etc. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP-NO ISSP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	5389
SPPILL	Label: Spending for birth control Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP-NO ISSP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA	5390
PROB1	Label: First problem mentioned Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 995 CANT UNDERSTAND ANSWER 996 NO PROBLEMS 998 DONT KNOW 999 NA	5391
PROB2	Label: Second problem mentioned Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 995 CANT UNDERSTAND ANSWER 996 NO PROBLEMS 998 DONT KNOW 999 NA	5392
PROB3	Label: Third problem mentioned Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 995 CANT UNDERSTAND ANSWER 996 NO PROBLEMS 998 DONT KNOW 999 NA	5393
PROB4	Label: Fourth problem mentioned Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 995 CANT UNDERSTAND ANSWER 996 NO PROBLEMS 998 DONT KNOW 999 NA	5394
HLTH1	Label: Ill enough to go to a doctor Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5395
HLTH2	Label: Counseling for mental problems Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5396
HLTH3	Label: Infertility, unable to have a baby Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5397
HLTH4	Label: Drinking problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5398
HLTH5	Label: Illegal drugs (marijuana, cocaine) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5399
HLTH6	Label: (Husband, wife)partner in hospital Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5400
HLTH7	Label: A child in hospital Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5401
HLTH8	Label: Child on drugs, drinking problem Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5402
HLTH9	Label: A death of a close friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5403
HLTH10	Label: Respondent in hospital or sanatorium Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5404
HLTH11	Label: Respondent unable to work for one month or more Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5405
HLTH12	Label: A death of spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5406
HLTH13	Label: A death of child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5407
HLTH14	Label: A death of parents Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5408
WORK1	Label: Unemployed and looking for work a month + Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5409
WORK2	Label: Being demoted or move to worse position Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5410
WORK3	Label: A cut in pay or reduced hours Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5411
WORK4	Label: Being passed over for promotion Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5412
WORK5	Label: Having trouble with one's boss Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5413
WORK6	Label: Own business losing money or failing Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5414
WORK7	Label: A husband, wife, partner being fired Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5415
WORK8	Label: A husband, wife, partner cut in pay Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5416
WORK9	Label: Ones' spouse being unemployed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5417
WORK10	Label: During past 12 mo, R was unemployed and looking for work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5418
FINAN1	Label: Going bankrupt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5419
FINAN2	Label: Having a car etc. repossessed Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5420
FINAN3	Label: Pawning valuables to make ends meet Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5421
FINAN4	Label: Being pressured to pay bills Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5422
FINAN5	Label: Major worsening financial condition Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5423
HRDSHP1	Label: Fall behind in paying rent, mortgage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5424
HRDSHP2	Label: Eviction from one's apartment, house Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5425
HRDSHP3	Label: Having the utilities shut-off Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5426
HRDSHP4	Label: Being unable to purchase needed food Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5427
HRDSHP5	Label: Unable to afford needed medical care Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5428
HRDSHP6	Label: Lacking health insurance coverage Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5429
HRDSHP7	Label: Homeless Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5430
FAMPER1	Label: Having serious trouble with spouse Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5431
FAMPER2	Label: Separating from spouse or partner Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5432
FAMPER3	Label: Breaking up with fianc?e) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5433
FAMPER4	Label: Having serious trouble with a child Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5434
FAMPER5	Label: Having serious trouble with friend Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5435
FAMPER6	Label: Divorced or separated Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5436
LAW1	Label: A robbery Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5437
LAW2	Label: A Personal assault Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5438
LAW3	Label: Your home burglarized Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5439
LAW4	Label: Accused of crime Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5440
LAW5	Label: Arrested Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5441
LAW6	Label: Sued in civil case Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5442
LAW7	Label: Your child arrested Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5443
LIVE1	Label: Your home destroyed in disaster Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5444
LIVE2	Label: Your home in poor condition Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5445
LIVE3	Label: Major home repaiR's Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5446
LIVE4	Label: Serious problem with your landlord Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5447
OTH1	Label: Being discriminated against Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5448
OTH2	Label: Unable to get to school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5449
OTH3	Label: Child have trouble in school Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5450
OTH4	Label: Need but unable to use public transport. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5451
OTH5	Label: Do not have a car Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5452
EXTRA1	Label: Other problems Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	5453
EXTRA2	Label: Other problems Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 998 DK 999 NA	5454
POVLINE	Label: R's hh poverty status Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 NOT IMPUTABLE 1 POOR 2 POOR -- IMPUTED 3 NOT POOR 4 NOT POOR -- IMPUTED 5 BORDERLINE 6 BORDERLINE -- IMPUTED 9 NA	5455
INCDEF	Label: Distance below poverty line Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 NOT IMPUTABLE 1 < -10,000 2 -10,000 TO -5,000 3 -4,999 TO -1,000 4 -999 TO 999 5 1,000 TO 4,999 6 5,000 TO 9,999 7 10,000 TO 20,000 8 20,001 + 9 NA	5456
REALINC	Label: Family income in constant $ Format: F6.0 Measure: Scale Display Width: 8 Missing Values: 0; 999999; 999998 Value Label 0 IAP 999998 DONT KNOW 999999 NA	5457
REALRINC	Label: R's income in constant $ Format: F6.0 Measure: Scale Display Width: 8 Missing Values: 0; 999999; 999998 Value Label 0 IAP 999998 DONT KNOW 999999 NA	5458
CONINC	Label: Family income in constant dollars Format: F6.0 Measure: Scale Display Width: 8 Missing Values: 0; 999999; 999998 Value Label 0 IAP 999998 DONT KNOW 999999 NA	5459
CONRINC	Label: Respondent income in constant dollars Format: F6.0 Measure: Scale Display Width: 8 Missing Values: 0; 999999; 999998 Value Label 0 IAP 999998 DONT KNOW 999999 NA	5460
MINFOUR	Label: Imputed poverty line for family of four Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	5461
MINFOOD	Label: Imputed wkly food spending for pov line fam of 4 Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	5462
MINTHREE	Label: Imputed poverty line for family of three Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9998 DK 9999 NA	5463
SECTECH	Label: Should govt maintain secrecy over technology Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	5464
SECDOCS	Label: Does govt classify too many documents as secrets Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA	5465
RPTCOWRK	Label: Report coworkers threatening secrecy of work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPORT COWORKER 2 ASK COWORKER TO STOP 3 REPORT COWRKR IF BEHAV CONT 4 NOT GET INVOLVED 8 DK 9 NA	5466
ASKFINAN	Label: Govt investigate workers finances for security Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DK 9 NA	5467
ASKCRIME	Label: Govt investigate workers crime records Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DK 9 NA	5468
ASKDRUGS	Label: Govt investigate workers illegal drug use Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DK 9 NA	5469
ASKMENTL	Label: Govt investigate workers mental health Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DK 9 NA	5470
ASKFORGN	Label: Govt investigate workers foreign family Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DK 9 NA	5471
ASKDRINK	Label: Govt investigate workers alcohol use Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DK 9 NA	5472
ASKSEXOR	Label: Govt investigate workers sexual orientation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DK 9 NA	5473
ASKFRBIZ	Label: Govt investigate foreign business contacts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DK 9 NA	5474
ASKFRTRV	Label: Govt investigate foreign travel Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DK 9 NA	5475
ASKCOMP	Label: Govt investigate use of computers Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DK 9 NA	5476
SECPRVCY	Label: Govt favor secrecy over workers privacy? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FAVOR INDIV RIGHT 2 FAVOR GOVT RIGHT 8 DK 9 NA	5477
SECDIPLO	Label: Government maintain secrecy on diplomatic initiatives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DONT KNOW 9 NA	5478
SECMILOP	Label: Government maintain secrecy on military operations Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DONT KNOW 9 NA	5479
SECTERR	Label: Government maintain secrecy on domestic terrorism Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DONT KNOW 9 NA	5480
SECBUDGT	Label: Government maintain secrecy on the intelligence budget Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DONT KNOW 9 NA	5481
CHKFINAN	Label: Government should verify financial assets Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Definitely should 2 Probably should 3 Probably should not 4 Definitely should not 8 DONT KNOW 9 NO ANSWER	5482
CHKSPFIN	Label: Government should verify spouse's financial assets Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DONT KNOW 9 NA	5483
CHKTAXES	Label: Government should verify tax records Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DONT KNOW 9 NA	5484
KNOMENTL	Label: Gov should have the right to know Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NOTHING ABOUT MENTAL HEALTH 2 WHETHER CURRENTLY CONSULTING 3 EVER CONSULTED A MENTAL 4 EVER CONSULTED & DIAGNOSIS 5 DIAGNOSIS & CONFIDENT. INFO 8 DONT KNOW 9 NA	5485
TAKEARMS	Label: Punishment for stealing and selling weapons Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISS MILITARY 3 ONE YEAR PRISON 4 5-9 YEARS PRISON 5 10-20 YRS PRISON 6 LIFE IN PRISON 8 DK 9 NA	5486
LEAKINFO	Label: Punishment for official leaking information Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISS MILITARY 3 1 YEAR IN PRISON 4 5-9 YRS PRISON 5 10-20 YRS PRISON 6 LIFE IN PRISON 8 DK 9 NA	5487
SPYENEMY	Label: Punishment for selling secrets to hostile foreign gov Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISS/MILITARY 3 ONE YR IN PRISON 4 5-9 YRS IN PRISN 5 10-20 YRS PRISON 6 LIFE IN PRISON 8 DK 9 NA	5488
SPYFREND	Label: Punishment for selling secrets to friend foreign gov Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISS/MILITARY 3 ONE YEAR PRISON 4 5-9 YEARS PRISON 5 10-20 YRS PRISON 6 LIFE IN PRISON 8 DK 9 NA	5489
TAKETRCK	Label: Punishment for stealing and selling truck parts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISS MILITARY 3 ONE YEAR PRISON 4 5-9 YEARS PRISON 5 10-20 YRS PRISON 6 LIFE IN PRISON 8 DK 9 NA	5490
PUNARMS	Label: Punishment stealing and selling arms Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISSAL FROM THE MILITARY/FIRED BY THE GOVERNMENT 3 ONE YEAR IN PRISON 4 5-9 YEARS IN PRISON 5 10-20 YEARS IN PRISON 6 LIFE IN PRISON 8 DK 9 NA	5491
PUNLEAK	Label: Punishment leaking sensitive information Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISSAL FROM THE MILITARY/FIRED BY THE GOVERNMENT 3 ONE YEAR IN PRISON 4 5-9 YEARS IN PRISON 5 10-20 YEARS IN PRISON 6 LIFE IN PRISON 8 DK 9 NA	5492
PUNENMY	Label: Punishment selling info to foreign enemies Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISSAL FROM THE MILITARY/FIRED BY THE GOVERNMENT 3 ONE YEAR IN PRISON 4 5-9 YEARS IN PRISON 5 10-20 YEARS IN PRISON 6 LIFE IN PRISON 8 DK 9 NA	5493
PUNFRND	Label: Punishment selling info to friendly countries Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISSAL FROM THE MILITARY/FIRED BY THE GOVERNMENT 3 ONE YEAR IN PRISON 4 5-9 YEARS IN PRISON 5 10-20 YEARS IN PRISON 6 LIFE IN PRISON 8 DK 9 NA	5494
PUNTRCK	Label: Punishment stealing govt truck parts Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISSAL FROM THE MILITARY/FIRED BY THE GOVERNMENT 3 ONE YEAR IN PRISON 4 5-9 YEARS IN PRISON 5 10-20 YEARS IN PRISON 6 LIFE IN PRISON 8 DK 9 NA	5495
COMSTEAL	Label: Punishment stealing national security computer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISSAL FROM THE MILITARY-FIRED BY THE GOVERNMENT 3 ONE YEAR IN PRISON 4 5-9 YEARS IN PRISON 5 10-20 YEARS IN PRISON 6 LIFE IN PRISON 8 DK 9 NA	5496
COMDATA	Label: Punishment damaging national security computer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISSAL FROM THE MILITARY-FIRED BY THE GOVERNMENT 3 ONE YEAR IN PRISON 4 5-9 YEARS IN PRISON 5 10-20 YEARS IN PRISON 6 LIFE IN PRISON 8 DK 9 NA	5497
COMSYS	Label: Punishment for damaging a computer system Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISSAL FROM THE MILITARY-FIRED BY THE GOVERNMENT 3 ONE YEAR IN PRISON 4 5-9 YEARS IN PRISON 5 10-20 YEARS IN PRISON 6 LIFE IN PRISON 8 DK 9 NA	5498
COMSNOOP	Label: Punishment for snooping in a computer system Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISSAL FROM THE MILITARY-FIRED BY THE GOVERNMENT 3 ONE YEAR IN PRISON 4 5-9 YEARS IN PRISON 5 10-20 YEARS IN PRISON 6 LIFE IN PRISON 8 DK 9 NA	5499
COMEMAIL	Label: Punishment emailing documents unauthorized per Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISSAL FROM THE MILITARY-FIRED BY THE GOVERNMENT 3 ONE YEAR IN PRISON 4 5-9 YEARS IN PRISON 5 10-20 YEARS IN PRISON 6 LIFE IN PRISON 8 DK 9 NA	5500
COMPORN	Label: Punishment for downloading porn at office Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 REPRIMAND 2 DISMISSAL FROM THE MILITARY-FIRED BY THE GOVERNMENT 3 ONE YEAR IN PRISON 4 5-9 YEARS IN PRISON 5 10-20 YEARS IN PRISON 6 LIFE IN PRISON 8 DK 9 NA	5501
LIETEST	Label: People with secret should be subject to lie tests Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	5502
TESTDRUG	Label: People with secret should be subject to drug tests Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	5503
BUGGING	Label: People with secret should be subject to wiretapping Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	5504
FINANQS	Label: People with secret should be subject to ques. of finan Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	5505
CHKONJOB	Label: People with secret should be subject to monitoring Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	5506
CHKOTHER	Label: People with secret should be subject to monitoring of Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA	5507
COMPFIN	Label: Govt check Personal financial records Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5508
CHKTRAVL	Label: Govt check international travel records Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5509
EMAILWRK	Label: Govt audit email and internet at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5510
EMAILHME	Label: Govt audit email and internet at home Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5511
TAPWRK	Label: Govt wire-tap work phone line Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5512
TAPHME	Label: Govt wire-tap home phone line Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5513
SRCHWRK	Label: Govt search briefcases and desks at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5514
CAMWRK	Label: Govt camera surveillance at work Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA	5515
USSPY	Label: U.S. spies foreign govts more threat 10 yrs ago Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GREATER 2 ABOUT THE SAME 3 LESS 8 DK 9 NA	5516
FORSPY	Label: Foreign spies more threat 10 yrs ago Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GREATER 2 ABOUT THE SAME 3 LESS 8 DK 9 NA	5517
USTERROR	Label: Terrorism by U.S. citizens more threat 10 yrs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GREATER 2 ABOUT THE SAME 3 LESS 8 DK 9 NA	5518
FRTERROR	Label: Terrorism by foreigneR's more threat 10 yrs ago Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GREATER 2 ABOUT THE SAME 3 LESS 8 DK 9 NA	5519
FORSTEAL	Label: ForeigneR's stealing U.S. tech more threat 10 y Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GREATER 2 ABOUT THE SAME 3 LESS 8 DK 9 NA	5520
NUCLRWAR	Label: Nuclear war more threat 10 yrs ago Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 GREATER 2 ABOUT THE SAME 3 LESS 8 DK 9 NA	5521
ETHNIC	Label: Country of family origin Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 UNCODEABLE & IAP 1 AFRICA 2 AUSTRIA 3 FRENCH CANADA 4 OTHER CANADA 5 CHINA 6 CZECHOSLOVAKIA 7 DENMARK 8 ENGLAND & WALES 9 FINLAND 10 FRANCE 11 GERMANY 12 GREECE 13 HUNGARY 14 IRELAND 15 ITALY 16 JAPAN 17 MEXICO 18 NETHERLANDS 19 NORWAY 20 PHILIPPINES 21 POLAND 22 PUERTO RICO 23 RUSSIA 24 SCOTLAND 25 SPAIN 26 SWEDEN 27 SWITZERLAND 28 WEST INDIES 29 OTHER 30 AMERICAN INDIAN 31 INDIA 32 PORTUGAL 33 LITHUANIA 34 YUGOSLAVIA 35 RUMANIA 36 BELGIUM 37 ARABIC 38 OTHER SPANISH 39 NON-SPAN WINDIES 40 OTHER ASIAN 41 OTHER EUROPEAN 97 AMERICAN ONLY 98 NO ETH MENTIONED 99 NA	5522
ETH1	Label: 1st mentioned country of origin Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 UNCODEABLE & IAP 1 AFRICA 2 AUSTRIA 3 FRENCH CANADA 4 OTHER CANADA 5 CHINA 6 CZECHOSLOVAKIA 7 DENMARK 8 ENGLAND & WALES 9 FINLAND 10 FRANCE 11 GERMANY 12 GREECE 13 HUNGARY 14 IRELAND 15 ITALY 16 JAPAN 17 MEXICO 18 NETHERLANDS 19 NORWAY 20 PHILIPPINES 21 POLAND 22 PUERTO RICO 23 RUSSIA 24 SCOTLAND 25 SPAIN 26 SWEDEN 27 SWITZERLAND 28 WEST INDIES 29 OTHER 30 AMERICAN INDIAN 31 INDIA 32 PORTUGAL 33 LITHUANIA 34 YUGOSLAVIA 35 RUMANIA 36 BELGIUM 37 ARABIC 38 OTHER SPANISH 39 NON-SPAN WINDIES 40 OTHER ASIAN 41 OTHER EUROPEAN 97 AMERICAN ONLY 98 NO ETH MENTIONED 99 NA	5523
ETH2	Label: 2nd mentioned country of origin Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 UNCODEABLE & IAP 1 AFRICA 2 AUSTRIA 3 FRENCH CANADA 4 OTHER CANADA 5 CHINA 6 CZECHOSLOVAKIA 7 DENMARK 8 ENGLAND & WALES 9 FINLAND 10 FRANCE 11 GERMANY 12 GREECE 13 HUNGARY 14 IRELAND 15 ITALY 16 JAPAN 17 MEXICO 18 NETHERLANDS 19 NORWAY 20 PHILIPPINES 21 POLAND 22 PUERTO RICO 23 RUSSIA 24 SCOTLAND 25 SPAIN 26 SWEDEN 27 SWITZERLAND 28 WEST INDIES 29 OTHER 30 AMERICAN INDIAN 31 INDIA 32 PORTUGAL 33 LITHUANIA 34 YUGOSLAVIA 35 RUMANIA 36 BELGIUM 37 ARABIC 38 OTHER SPANISH 39 NON-SPAN WINDIES 40 OTHER ASIAN 41 OTHER EUROPEAN 97 AMERICAN ONLY 98 NO ETH MENTIONED 99 NA	5524
ETH3	Label: 3rd mentioned country of origin Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 UNCODEABLE & IAP 1 AFRICA 2 AUSTRIA 3 FRENCH CANADA 4 OTHER CANADA 5 CHINA 6 CZECHOSLOVAKIA 7 DENMARK 8 ENGLAND & WALES 9 FINLAND 10 FRANCE 11 GERMANY 12 GREECE 13 HUNGARY 14 IRELAND 15 ITALY 16 JAPAN 17 MEXICO 18 NETHERLANDS 19 NORWAY 20 PHILIPPINES 21 POLAND 22 PUERTO RICO 23 RUSSIA 24 SCOTLAND 25 SPAIN 26 SWEDEN 27 SWITZERLAND 28 WEST INDIES 29 OTHER 30 AMERICAN INDIAN 31 INDIA 32 PORTUGAL 33 LITHUANIA 34 YUGOSLAVIA 35 RUMANIA 36 BELGIUM 37 ARABIC 38 OTHER SPANISH 39 NON-SPAN WINDIES 40 OTHER ASIAN 41 OTHER EUROPEAN 97 AMERICAN ONLY 98 NO ETH MENTIONED 99 NA	5525
ETHNUM	Label: Type of response about ethnicity:R Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 5 Value Label 1 NAMES 1 2 CHOOSES 1 OF 2+ 3 CANNOT CHOOSE 1 4 CANNOT NAME ANY 5 UNCODEABLE	5526
SPETHNIC	Label: Country of spouse's family origin Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 UNCODEABLE & IAP 1 AFRICA 2 AUSTRIA 3 FRENCH CANADA 4 OTHER CANADA 5 CHINA 6 CZECHOSLOVAKIA 7 DENMARK 8 ENGLAND & WALES 9 FINLAND 10 FRANCE 11 GERMANY 12 GREECE 13 HUNGARY 14 IRELAND 15 ITALY 16 JAPAN 17 MEXICO 18 NETHERLANDS 19 NORWAY 20 PHILIPPINES 21 POLAND 22 PUERTO RICO 23 RUSSIA 24 SCOTLAND 25 SPAIN 26 SWEDEN 27 SWITZERLAND 28 WEST INDIES 29 OTHER 30 AMERICAN INDIAN 31 INDIA 32 PORTUGAL 33 LITHUANIA 34 YUGOSLAVIA 35 RUMANIA 36 BELGIUM 37 ARABIC 38 OTHER SPANISH 39 NON-SPAN WINDIES 40 OTHER ASIAN 41 OTHER EUROPEAN 97 AMERICAN ONLY 98 NO ETH MENTIONED 99 NA	5527
SPETH1	Label: 1st mentioned country of spouse's origin Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 UNCODEABLE & IAP 1 AFRICA 2 AUSTRIA 3 FRENCH CANADA 4 OTHER CANADA 5 CHINA 6 CZECHOSLOVAKIA 7 DENMARK 8 ENGLAND & WALES 9 FINLAND 10 FRANCE 11 GERMANY 12 GREECE 13 HUNGARY 14 IRELAND 15 ITALY 16 JAPAN 17 MEXICO 18 NETHERLANDS 19 NORWAY 20 PHILIPPINES 21 POLAND 22 PUERTO RICO 23 RUSSIA 24 SCOTLAND 25 SPAIN 26 SWEDEN 27 SWITZERLAND 28 WEST INDIES 29 OTHER 30 AMERICAN INDIAN 31 INDIA 32 PORTUGAL 33 LITHUANIA 34 YUGOSLAVIA 35 RUMANIA 36 BELGIUM 37 ARABIC 38 OTHER SPANISH 39 NON-SPAN WINDIES 40 OTHER ASIAN 41 OTHER EUROPEAN 97 AMERICAN ONLY 98 NO ETH MENTIONED 99 NA	5528
SPETH2	Label: 2nd mentioned country of spouse's origin Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 UNCODEABLE & IAP 1 AFRICA 2 AUSTRIA 3 FRENCH CANADA 4 OTHER CANADA 5 CHINA 6 CZECHOSLOVAKIA 7 DENMARK 8 ENGLAND & WALES 9 FINLAND 10 FRANCE 11 GERMANY 12 GREECE 13 HUNGARY 14 IRELAND 15 ITALY 16 JAPAN 17 MEXICO 18 NETHERLANDS 19 NORWAY 20 PHILIPPINES 21 POLAND 22 PUERTO RICO 23 RUSSIA 24 SCOTLAND 25 SPAIN 26 SWEDEN 27 SWITZERLAND 28 WEST INDIES 29 OTHER 30 AMERICAN INDIAN 31 INDIA 32 PORTUGAL 33 LITHUANIA 34 YUGOSLAVIA 35 RUMANIA 36 BELGIUM 37 ARABIC 38 OTHER SPANISH 39 NON-SPAN WINDIES 40 OTHER ASIAN 41 OTHER EUROPEAN 97 AMERICAN ONLY 98 NO ETH MENTIONED 99 NA	5529
SPETH3	Label: 3rd mentioned country of spouse's origin Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 UNCODEABLE & IAP 1 AFRICA 2 AUSTRIA 3 FRENCH CANADA 4 OTHER CANADA 5 CHINA 6 CZECHOSLOVAKIA 7 DENMARK 8 ENGLAND & WALES 9 FINLAND 10 FRANCE 11 GERMANY 12 GREECE 13 HUNGARY 14 IRELAND 15 ITALY 16 JAPAN 17 MEXICO 18 NETHERLANDS 19 NORWAY 20 PHILIPPINES 21 POLAND 22 PUERTO RICO 23 RUSSIA 24 SCOTLAND 25 SPAIN 26 SWEDEN 27 SWITZERLAND 28 WEST INDIES 29 OTHER 30 AMERICAN INDIAN 31 INDIA 32 PORTUGAL 33 LITHUANIA 34 YUGOSLAVIA 35 RUMANIA 36 BELGIUM 37 ARABIC 38 OTHER SPANISH 39 NON-SPAN WINDIES 40 OTHER ASIAN 41 OTHER EUROPEAN 97 AMERICAN ONLY 98 NO ETH MENTIONED 99 NA	5530
SPETHNUM	Label: Type of response about ethnicity:sp Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 5 Value Label 0 IAP 1 NAMES 1 2 CHOOSES 1 OF 2+ 3 CANNOT CHOOSE 1 4 CANNOT NAME ANY 5 UNCODEABLE	5531
RACESEE	Label: Observed race Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 WHITE 2 BLACK 3 OTHER 4 HISPANIC 5 BLACK AND WHITE 6 SPANISH 7 FILIPINO 8 AMERICAN INDIAN 9 ASIAN 10 YELLOW 11 MEXICAN 12 BROWN 13 LATINO 14 MIDDLE EASTERN 15 PUERTO RICAN 16 INDIAN 17 ALASKA NATIVE 18 PACIFIC ISLANDER 19 CUBAN 20 JAPANESE 21 ORIENTAL 22 TRINIDAD 98 DK 99 NA	5532
RACEDBTF	Label: Certainty of observed race Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 NO DOUBT 2 SOME DOUBT, PRETTY SURE 3 A LOT OF DOUBT, PRETTY UNSURE 4 COMPLETELY UNSURE 8 DK 9 NA	5533
RACESELF	Label: R's own racial id Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WHITE 2 BLACK 3 OTHER 8 DK 9 NA	5534
HISPANIC	Label: Hispanic specified Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NOT HISPANIC 2 MEXICAN, MEXICAN AMERICAN, CHICANO/A 3 PUERTO RICAN 4 CUBAN 5 SALVADORIAN 6 GUATEMALAN 7 PANAMANIAN 8 NICARAGUAN 9 COSTA RICAN 10 CENTRAL AMERICAN 11 HONDURAN 15 DOMINICAN 16 WEST INDIAN 20 PERUVIAN 21 EQUADORIAN 22 COLUMBIAN 23 VENEZUELAN 24 Argentinian 25 Chilean 30 SPANISH 31 BASQUE 35 FILIPINO/A 40 LATIN AMERICAN 41 SOUTH AMERICAN 42 American 45 LATIN 46 LATINO/A 47 HISPANIC 50 OTHER, NOT SPECIFIED 98 DK 99 NA	5535
RACECEN1	Label: What Is R's race 1st mention Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 WHITE 2 BLACK OR AFRICAN AMERICAN 3 AMERICAN INDIAN OR ALASKA NATIVE 4 ASIAN INDIAN 5 CHINESE 6 FILIPINO 7 JAPANESE 8 KOREAN 9 VIETNAMESE 10 OTHER ASIAN 11 NATIVE HAWAIIAN 12 GUAMANIAN OR CHAMORRO 13 SAMOAN 14 OTHER PACIFIC ISLANDER 15 SOME OTHER RACE 16 HISPANIC 98 DK 99 NA	5536
RACECEN2	Label: What Is R's race 2nd mention Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 WHITE 2 BLACK OR AFRICAN AMERICAN 3 AMERICAN INDIAN OR ALASKA NATIVE 4 ASIAN INDIAN 5 CHINESE 6 FILIPINO 7 JAPANESE 8 KOREAN 9 VIETNAMESE 10 OTHER ASIAN 11 NATIVE HAWAIIAN 12 GUAMANIAN OR CHAMORRO 13 SAMOAN 14 OTHER PACIFIC ISLANDER 15 SOME OTHER RACE 16 HISPANIC 98 DK 99 NA	5537
RACECEN3	Label: What Is R's race 3rd mention Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 WHITE 2 BLACK OR AFRICAN AMERICAN 3 AMERICAN INDIAN OR ALASKA NATIVE 4 ASIAN INDIAN 5 CHINESE 6 FILIPINO 7 JAPANESE 8 KOREAN 9 VIETNAMESE 10 OTHER ASIAN 11 NATIVE HAWAIIAN 12 GUAMANIAN OR CHAMORRO 13 SAMOAN 14 OTHER PACIFIC ISLANDER 15 SOME OTHER RACE 16 HISPANIC 98 DK 99 NA	5538
DIFRACE1	Label: Why observation disagrees self id Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 R NOT SERIOUS 2 HISPANIC CHOSEN OVER WHITE 3 HISPANIC CHOSEN OVER BLACK 4 PHYSICALLY DOESN'T MATCH RACE 5 RACIALLY MIXED 6 R REJECTS RACIAL CATEGORIES 7 R REJECTS 'BLACK' LABEL 8 IS MARRIED TO MEMBER OF ANOTHER RACE 9 WHITE OR BLACK CHOSEN OVER HISPANIC 10 FEELINGS, NOT BIOLOGY MATTERS 11 IDENTIFIES WITH OTHER THAN 'REAL' RACE 12 OTHER HISPANIC COMPLICATIONS 98 DK 99 NA	5539
DIFRACE2	Label: Why observation disagrees self id Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 R NOT SERIOUS 2 HISPANIC CHOSEN OVER WHITE 3 HISPANIC CHOSEN OVER BLACK 4 PHYSICALLY DOESN'T MATCH RACE 5 RACIALLY MIXED 6 R REJECTS RACIAL CATEGORIES 7 R REJECTS 'BLACK' LABEL 8 IS MARRIED TO MEMBER OF ANOTHER RACE 9 WHITE OR BLACK CHOSEN OVER HISPANIC 10 FEELINGS, NOT BIOLOGY MATTERS 11 IDENTIFIES WITH OTHER THAN 'REAL' RACE 12 OTHER HISPANIC COMPLICATIONS 98 DK 99 NA	5540
DIFRACE3	Label: Why observation disagrees self id Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 R NOT SERIOUS 2 HISPANIC CHOSEN OVER WHITE 3 HISPANIC CHOSEN OVER BLACK 4 PHYSICALLY DOESN'T MATCH RACE 5 RACIALLY MIXED 6 R REJECTS RACIAL CATEGORIES 7 R REJECTS 'BLACK' LABEL 8 IS MARRIED TO MEMBER OF ANOTHER RACE 9 WHITE OR BLACK CHOSEN OVER HISPANIC 10 FEELINGS, NOT BIOLOGY MATTERS 11 IDENTIFIES WITH OTHER THAN 'REAL' RACE 12 OTHER HISPANIC COMPLICATIONS 98 DK 99 NA	5541
RACETHWH	Label: Points assigned to white Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	5542
RACETHHI	Label: Points assigned to Hispanic/latino Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	5543
RACETHBL	Label: Points assigned to black/african American Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	5544
RACETHAS	Label: Points assigned to Asian American Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	5545
RACETHNA	Label: Points assigned to native American/American Indian Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 DK 99 NA	5546
RACETHOT	Label: Points assigned to other Format: F8.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 98 Don't Know 99 No Answer	5547
RACETHMN	Label: Specify other in racethot Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 European 2 Hispanic 3 African 4 East Asian 5 Native American 6 South Asian 7 Asian, not East or South 8 Other 98 DK 99 NA	5548
USCITZN	Label: Is R US citizen Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 A U.S. Citizen 2 Not a U.S. Citizen 3 A U.S. CITIZEN BORN IN PUERTO RICO, THE U.S. VIRGIN ISLANDS, OR THE NORTHERN MARIANAS ISLANDS 4 BORN OUTSIDE OF THE UNITED STATES TO PARENTS WHO WERE U.S CITIZENS AT THAT TIME (IF VOLUNTEERED) 8 DONT KNOW 9 NA	5549
FUCITZN	Label: Is R planning/appling for US citizenship or not Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Currently applying for U.S. citizenship 2 Planning to apply for U.S. citizenship 3 Not planning to apply to U.S. citizenship 4 NOT ELIGIBLE TO BECOME A U.S. CITIZEN (IF VOLUNTEERED) 8 DONT KNOW 9 NA	5550
VETYEARS	Label: Years in armed forces Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 NONE 1 LESS THAN 2 YRS 2 2 TO 4 YEARS 3 MORE THAN 4 YRS 4 SOME,DK HOW LONG 9 NA	5551
VETKIND	Label: Branch of service Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 SEVERAL 1 AIR FORCE GUARD 2 AIR FORCE 3 NAVY 4 ARMY 5 NATIONAL GUARD 6 MARINES 7 COAST GUARD 8 PUBLIC HEALTH 9 NA	5552
WORKDY	Label: Days R normally works Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 MON TO FRI 2 MON TO FRI,SAT 3 MON TO FRI,SUN 4 WKEND PLUS 5 NO SCHEDULE 9 NA	5553
WORKHR	Label: Hours R usually works Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 REG DAY 2 EVE 3 NIGHTS 4 VARIES 5 OTHER 9 NA	5554
SPDAYS	Label: Days spouse normally works Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 MON TO FRI 2 MON TO FRI,SAT 3 MON TO FRI,SUN 4 WKEND PLUS 5 NO SCHEDULE 9 NA	5555
SPHOUR	Label: Hours spouse usually works Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 REG DAY 2 EVE 3 NIGHTS 4 VARIES 5 OTHER 9 NA	5556
DWELLING	Label: Type of structure Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 TRAILER 2 DETACHED 1-FAM HOUSE 3 2 UNITS SIDE BY SIDE 4 2 UNITS-ONE ABOVE 5 3-4 FAM HOUSE 6 ROW HOUSE 7 APARTMENT HOUSE 8 APARTMENT-4 STORIES 9 APARTMENT-COMMERCIAL 10 OTHER 98 DK 99 NA	5557
DWELNGH	Label: Dwelling compared to others in nbrhd Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 FAR ABOVE AVERAGE 2 ABOVE AVERAGE 3 AVERAGE 4 BELOW AVERAGE 5 FAR BELOW AVERAGE 9 NA	5558
DWELCITY	Label: Dwelling compared to others in city Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 FAR ABOVE AVERAGE 2 ABOVE AVERAGE 3 AVERAGE 4 BELOW AVERAGE 5 FAR BELOW AVERAGE 9 NA	5559
DWELOWN	Label: Does R own or rent home? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 OWN OR IS BUYING 2 PAYS RENT 3 OTHER 8 DK 9 NA	5560
WORDA	Label: Word a Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 INCORRECT 1 CORRECT 9 NA	5561
WORDB	Label: Word b Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 INCORRECT 1 CORRECT 9 NA	5562
WORDC	Label: Word c Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 INCORRECT 1 CORRECT 9 NA	5563
WORDD	Label: Word d Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 INCORRECT 1 CORRECT 9 NA	5564
WORDE	Label: Word e Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 INCORRECT 1 CORRECT 9 NA	5565
WORDF	Label: Word f Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 INCORRECT 1 CORRECT 9 NA	5566
WORDG	Label: Word g Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 INCORRECT 1 CORRECT 9 NA	5567
WORDH	Label: Word h Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 INCORRECT 1 CORRECT 9 NA	5568
WORDI	Label: Word i Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 INCORRECT 1 CORRECT 9 NA	5569
WORDJ	Label: Word j Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 9 Value Label -1 IAP 0 INCORRECT 1 CORRECT 9 NA	5570
WORDSUM	Label: Number words correct in vocabulary test Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 99 DID NOT TRY	5571
GODOC	Label: Last week went to see a doctor? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5572
EATOUT	Label: Last week had a meal at a restaurant Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5573
SEEFILM	Label: Last week went to see a film? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5574
ATTRELIG	Label: Last week attended religious services? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5575
NUMDAYS	Label: Number of days attended religious services Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 8 DK 9 NA	5576
SUNDAY	Label: Attended religious services last sunday Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5577
MONDAY	Label: Attended religious services last monday Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5578
TUESDAY	Label: Attended religious services last tuesday Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5579
WEDNESDY	Label: Attended religious services last wednesday Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5580
THURSDAY	Label: Attended religious services last thursday Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5581
FRIDAY	Label: Attended religious services last friday Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5582
SATURDAY	Label: Attended religious services last saturday Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5583
ATTREG	Label: Last 7 days attend a worship service Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5584
MEDIAREL	Label: Watch a religious program on television-radio? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5585
OTHREL	Label: Attend some other type of religious event Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5586
OTHREL1	Label: What type of religious events or meetings Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 BIBLE STUDY,CLASS 2 CHOIR, CHORAL, CONCERT, PLAY 3 DISCUSSION GROUP 4 LECTURE 5 GOVERNING BOARD, ETC 6 PREACHING, TAUGHT SUNDAY SCHOOL 7 PRAYER GROUP, BREAKFAST, MEETING 8 COUNSELING 9 WORSHIP SERVICE 10 OTHER, RELIGIOUS 11 OTHER, NON-RELIGIOUS 98 DK 99 NA	5587
OTHREL2	Label: What type of religious events or meetings Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 BIBLE STUDY,CLASS 2 CHOIR, CHORAL, CONCERT, PLAY 3 DISCUSSION GROUP 4 LECTURE 5 GOVERNING BOARD, ETC 6 PREACHING, TAUGHT SUNDAY SCHOOL 7 PRAYER GROUP, BREAKFAST, MEETING 8 COUNSELING 9 WORSHIP SERVICE 10 OTHER, RELIGIOUS 11 OTHER, NON-RELIGIOUS 98 DK 99 NA	5588
OTHREL3	Label: What type of religious events or meetings Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 BIBLE STUDY,CLASS 2 CHOIR, CHORAL, CONCERT, PLAY 3 DISCUSSION GROUP 4 LECTURE 5 GOVERNING BOARD, ETC 6 PREACHING, TAUGHT SUNDAY SCHOOL 7 PRAYER GROUP, BREAKFAST, MEETING 8 COUNSELING 9 WORSHIP SERVICE 10 OTHER, RELIGIOUS 11 OTHER, NON-RELIGIOUS 98 DK 99 NA	5589
ATTWEEK	Label: Attend religious events during the last week Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5590
RELIGID	Label: R's religious identity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 FUNDAMENTALIST 2 EVANGELICAL 3 MAINLINE 4 LIBERAL 5 NONE 6 OTHER 8 DK 9 NA	5591
RELID1	Label: Protestant identification 1st mention Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PENTECOSTAL 2 FUNDAMENTALIST 3 EVANGELICAL 4 MAINLINE 5 LIBERAL 6 NONE 7 OTHER (SPECIFY) 8 DK 9 NA	5592
RELID2	Label: Protestant identification 2nd mention Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PENTECOSTAL 2 FUNDAMENTALIST 3 EVANGELICAL 4 MAINLINE 5 LIBERAL 6 NONE 7 OTHER (SPECIFY) 8 DK 9 NA	5593
RELID3	Label: Protestant identification 3rd mention Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PENTECOSTAL 2 FUNDAMENTALIST 3 EVANGELICAL 4 MAINLINE 5 LIBERAL 6 NONE 7 OTHER (SPECIFY) 8 DK 9 NA	5594
RELIDBST	Label: Protestant identification best group Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 PENTECOSTAL 2 FUNDAMENTALIST 3 EVANGELICAL 4 MAINLINE 5 LIBERAL 6 NONE 7 OTHER (SPECIFY) 8 DK 9 NA	5595
CATHID	Label: If catholic what identity Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 TRADITIONAL 2 MODERATE 3 LIBERAL 4 NONE 6 OTHER (SPECIFY) 8 DK 9 NA	5596
CHARISMA	Label: Is R associated with charismatic movement Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5597
RELATE1	Label: Relationship of 1st person to household head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5598
GENDER1	Label: Gender of 1st person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5599
OLD1	Label: Age of 1st person Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5600
MAR1	Label: Marital status of 1st person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5601
AWAY1	Label: Is 1st person staying somewhere else now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5602
WHERE1	Label: Where is 1st person staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5603
RELATE2	Label: Relationship of 2nd person to household head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5604
GENDER2	Label: Gender of 2nd person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5605
OLD2	Label: Age of 2nd person Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5606
MAR2	Label: Marital status of 2nd person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5607
AWAY2	Label: Is 2nd person staying somewhere else now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5608
WHERE2	Label: Where is 2nd person staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5609
RELATE3	Label: Relationship of 3rd person to household head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5610
GENDER3	Label: Gender of 3rd person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5611
OLD3	Label: Age of 3rd person Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5612
MAR3	Label: Marital status of 3rd person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5613
AWAY3	Label: Is 3rd person staying somewhere else now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5614
WHERE3	Label: Where is 3rd person staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5615
RELATE4	Label: Relationship of 4th person to household head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5616
GENDER4	Label: Gender of 4th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5617
OLD4	Label: Age of 4th person Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5618
MAR4	Label: Marital status of 4th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5619
AWAY4	Label: Is 4th person staying somewhere else now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5620
WHERE4	Label: Where is 4th person staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5621
RELATE5	Label: Relationship of 5th person to household head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5622
GENDER5	Label: Gender of 5th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5623
OLD5	Label: Age of 5th person Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5624
MAR5	Label: Marital status of 5th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5625
AWAY5	Label: Is 5th person staying somewhere else now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5626
WHERE5	Label: Where is 5th person staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5627
RELATE6	Label: Relationship of 6th person to household head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5628
GENDER6	Label: Gender of 6th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5629
OLD6	Label: Age of 6th person Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5630
MAR6	Label: Marital status of 6th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5631
AWAY6	Label: Is 6th person staying somewhere else now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5632
WHERE6	Label: Where is 6th person staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5633
RELATE7	Label: Relationship of 7th person to household head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5634
GENDER7	Label: Gender of 7th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5635
OLD7	Label: Age of 7th person Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5636
MAR7	Label: Marital status of 7th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5637
AWAY7	Label: Is 7th person staying somewhere else now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5638
WHERE7	Label: Where is 7th person staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5639
RELATE8	Label: Relationship of 8th person to household head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5640
GENDER8	Label: Gender of 8th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5641
OLD8	Label: Age of 8th person Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5642
MAR8	Label: Marital status of 8th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5643
AWAY8	Label: Is 8th person staying somewhere else now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5644
WHERE8	Label: Where is 8th person staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5645
RELATE9	Label: Relationship of 9th person to household head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5646
GENDER9	Label: Gender of 9th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5647
OLD9	Label: Age of 9th person Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5648
MAR9	Label: Marital status of 9th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5649
AWAY9	Label: Is 9th person staying somewhere else now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5650
WHERE9	Label: Where is 9th person staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5651
RELATE10	Label: Relationship of 10th person to household head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5652
GENDER10	Label: Gender of 10th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5653
OLD10	Label: Age of 1oth person Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5654
MAR10	Label: Marital status of 10th person Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5655
AWAY10	Label: Is 10th person staying somewhere else now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5656
WHERE10	Label: Where is 1oth person staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5657
RELATE11	Label: Relation of 11th person (visitor) to head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5658
GENDER11	Label: Gender of 11th person (visitor) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5659
OLD11	Label: Age of 11th person (visitor) Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5660
MAR11	Label: Marital status of 11th person (visitor) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5661
AWAY11	Label: Is 11th person (visitor) staying elsewhere now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5662
WHERE11	Label: Where is 11th person (visitor) staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5663
RELATE12	Label: Relation of 12th person (visitor) to head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5664
GENDER12	Label: Gender of 12th person (visitor) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5665
OLD12	Label: Age of 12th person (visitor) Format: F2.0 Measure: Scale Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5666
MAR12	Label: Marital status of 12th person (visitor) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5667
AWAY12	Label: Is 12th person (visitor) staying elsewhere now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5668
WHERE12	Label: Where is 12th person (visitor) staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5669
RELATE13	Label: Relation of 13th person (visitor) to head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5670
GENDER13	Label: Gender of 13th person (visitor) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5671
OLD13	Label: Age of 13th person (visitor) Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5672
MAR13	Label: Marital status of 13th person (visitor) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5673
AWAY13	Label: Is 13th person (visitor) staying elsewhere now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5674
WHERE13	Label: Where is 13th person (visitor) staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5675
RELATE14	Label: Relation of 14th person (visitor) to head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5676
GENDER14	Label: Gender of 14th person (visitor) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MALE 2 FEMALE 8 DK 9 NA	5677
OLD14	Label: Age of 14th person (visitor) Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: -1; 98; 99 Value Label -1 IAP 97 97 or older 98 DK 99 NA	5678
MAR14	Label: Marital status of 14th person (visitor) Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA	5679
AWAY14	Label: Is 14th person (visitor) staying elsewhere now? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 8 DK 9 NA	5680
WHERE14	Label: Where is 14th person (visitor) staying? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA	5681
RELHHD1	Label: Relation of 1st person to household head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5682
RELHHD2	Label: Relation of 2nd person to household head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5683
RELHHD3	Label: Relation of 3rd person to household head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5684
RELHHD4	Label: Relation of 4th person to household head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5685
RELHHD5	Label: Relation of 5th person to household head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5686
RELHHD6	Label: Relation of 6th person to household head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5687
RELHHD7	Label: Relation of 7th person to household head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5688
RELHHD8	Label: Relation of 8th person to household head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5689
RELHHD9	Label: Relation of 9th person to household head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5690
RELHHD10	Label: Relation of 1oth person to household head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5691
RELHHD11	Label: Relation of 11th person (visitor) to head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5692
RELHHD12	Label: Relation of 12th person (visitor) to head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5693
RELHHD13	Label: Relation of 13th person (visitor) to head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5694
RELHHD14	Label: Relation of 14th person (visitor) to head Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA	5695
HEFINFO	Label: Number of hef informant Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 1ST PERSON 2 2ND PERSON 3 3RD PERSON 4 4TH PERSON 5 5TH PERSON 6 6TH PERSON 7 7TH PERSON 8 8TH PERSON 9 9TH PERSON 10 10TH PERSON 11 11TH PERSON 12 12TH PERSON 13 13TH PERSON 14 14TH PERSON 22 NOT IN HOUSEHOLD 98 DK 99 NA	5696
HHRACE	Label: Race of household Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WHITE 2 BLACK 3 AMER INDIAN 4 ASIATIC, ORIENTAL 5 OTHER, MIXED 8 DK 9 NA	5697
RESPNUM	Label: Number in family of R Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 99 Value Label 0 IAP 1 1ST PERSON 2 2ND PERSON 3 3RD PERSON 4 4TH PERSON 5 5TH PERSON 6 6TH PERSON 7 7TH PERSON 8 8TH PERSON 9 9TH PERSON 10 10TH PERSON 11 11TH PERSON 12 12TH PERSON 13 13TH PERSON 14 14TH PERSON 99 NA	5698
HHTYPE	Label: Household type Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 1 1ADLT,0KIDS 2 1ADLT,1+KIDS 3 2ADLTS,MAR,0KIDS 4 2ADLTS,MAR,1+KIDS 5 2ADLTS,DKMAR,0KIDS 6 2ADLTS,DKMAR,1+KIDS 7 2AS,NTMAR,NTREL,OPSEX,0KS 8 2AS,NTMAR,NTREL,OPSEX,1+KS 9 2AS,NTMAR,NTREL,SMSEX,0KS 10 2AS,NTMAR,NTREL,SMSEX,1+KS 11 2ADLTS,NTMAR,REL,0KIDS 12 2ADLTS,NTMAR,REL,1+KIDS 13 2ADLTS,NTMAR,DKREL,0KIDS 14 2ADLTS,NTMAR,DKREL,1+KIDS 15 2AS,NTMAR,NTREL,DKSEX,0KS 16 2AS,NTMAR,NTREL,DKSEX,1+KS 20 3ADLT,0MAR,SP,0KIDS 21 3ADLTS,0MAR,SP,REL,0KIDS 22 3ADLTS,0MAR,REL,SP,0KIDS 23 3ADLTS,0MAR,REL,0KIDS 24 3ADLTS,0MAR,SP,NTREL,0KIDS 25 3ADLTS,0MAR,NTREL,SP,0KIDS 26 3ADLTS,0MAR,REL,0KIDS 27 3ADLTS,0MAR,NTREL,REL,0KIDS 28 3ADLTS,0MAR,NTREL,0KIDS 30 3ADLTS,1MAR,SP,0KIDS 31 3ADLTS,1MAR,SP,REL,0KIDS 32 3ADLTS,1MAR,REL,SP,0KIDS 33 3ADLTS,1MAR,REL,REL,0KIDS 34 3ADLTS,1MAR,SP,NTREL,0KIDS 35 3ADLTS,1MAR,NTREL,SP,0KIDS 36 3ADLTS,1MAR,REL,NTREL,0KIDS 37 3ADLTS,1MAR,NTREL,REL,0KIDS 38 3ADLTS,1MAR,NTREL,0KIDS 40 3ADLTS,2MAR,SP,0KIDS 41 3ADLTS,2MAR,SP,REL,0KIDS 42 3ADLTS,2MAR,REL,SP,0KIDS 43 3ADLTS,2MAR,REL,0KIDS 44 3ADLTS,2MAR,SP,NTREL,0KIDS 45 3ADLTS,2MAR,REL,NTREL,0KIDS 46 3ADLTS,2MAR,REL,NTREL,0KIDS 47 3ADLTS,2MAR,NTREL,REL,0KIDS 48 3ADLTS,2MAR,NTREL,0KIDS 50 3ADLTS,3MAR,SP,0KIDS 51 3ADLTS,3MAR,SP,REL,0KIDS 52 3ADLTS,3MAR,SP,REL,0KIDS 53 3ADLTS,3MAR,REL,0KIDS 54 3ADLTS,3MAR,SP,NTREL,0KIDS 55 3ADLTS,3MAR,NTREL,SP,0KIDS 56 3ADLTS,3MAR,REL,NTREL,0KIDS 57 3ADLTS,3MAR,NTREL,REL,0KIDS 58 3ADLTS,3MAR,NTREL,0KIDS 100 4+ADLTS,0MAR,0KIDS 101 4+ADLTS,1MAR,0KIDS 102 4+ADLTS,2MAR,0KIDS 103 4+ADLTS,3MAR,0KIDS 104 4+ADLTS,4+MAR,0KIDS 120 3ADLT,0MAR,SP,1+KIDS 121 3ADLTS,0MAR,SP,REL,1+KIDS 122 3ADLTS,0MAR,REL,SP,1+KIDS 123 3ADLTS,0MAR,REL,1+KIDS 124 3ADLTS,0MAR,SP,NTREL,1+KIDS 125 3ADLTS,0MAR,NTREL,SP,1+KIDS 126 3ADLTS,0MAR,REL,1+KIDS 127 3ADLTS,0MAR,NTREL,REL,1+KIDS 128 3ADLTS,0MAR,NTREL,1+KIDS 130 3ADLTS,1MAR,SP,1+KIDS 131 3ADLTS,1MAR,SP,REL,1+KIDS 132 3ADLTS,1MAR,REL,SP,1+KIDS 133 3ADLTS,1MAR,REL,REL,1+KIDS 134 3ADLTS,1MAR,SP,NTREL,1+KIDS 135 3ADLTS,1MAR,NTREL,SP,1+KIDS 136 3ADLTS,1MAR,REL,NTREL,1+KIDS 137 3ADLTS,1MAR,NTREL,REL,1+KIDS 138 3ADLTS,1MAR,NTREL,1+KIDS 140 3ADLTS,2MAR,SP,1+KIDS 141 3ADLTS,2MAR,SP,REL,1+KIDS 142 3ADLTS,2MAR,REL,SP,1+KIDS 143 3ADLTS,2MAR,REL,1+KIDS 144 3ADLTS,2MAR,SP,NTREL,1+KIDS 145 3ADLTS,2MAR,REL,NTREL,1+KIDS 146 3ADLTS,2MAR,REL,NTREL,1+KIDS 147 3ADLTS,2MAR,NTREL,REL,1+KIDS 148 3ADLTS,2MAR,NTREL,1+KIDS 150 3ADLTS,3MAR,SP,1+KIDS 151 3ADLTS,3MAR,SP,REL,1+KIDS 152 3ADLTS,3MAR,SP,REL,1+KIDS 153 3ADLTS,3MAR,REL,1+KIDS 154 3ADLTS,3MAR,SP,NTREL,1+KIDS 155 3ADLTS,3MAR,NTREL,SP,1+KIDS 156 3ADLTS,3MAR,REL,NTREL,1+KIDS 157 3ADLTS,3MAR,NTREL,REL,1+KIDS 158 3ADLTS,3MAR,NTREL,1+KIDS 200 4+ADLTS,0MAR,1+KIDS 201 4+ADLTS,1MAR,1+KIDS 202 4+ADLTS,2MAR,1+KIDS 203 4+ADLTS,3MAR,1+KIDS 204 4+ADLTS,4+MAR,1+KIDS 998 DK 999 NA	5699
HHTYPE1	Label: Household type (condensed) Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 MARRIED COUPLE, NO CHILDREN 2 SINGLE PARENT 3 OTHER FAM., NO CHILDREN 4 SINGLE ADULT 5 COHAB COUPLE, NO CHILDREN 6 NON-FAMILY, NO CHILDREN 8 UNSURE, NO CHILDREN 11 MARRIED COUPLE W CHILDREN 13 OTHER FAMILY W CHILDREN 15 COHAB COUPLE W CHILDREN 16 NON-FAMILY W CHILDREN 18 UNSURE W CHILDREN 99 NA	5700
FAMGEN	Label: Number of family generations in household Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 1 GEN 2 2 GENS, CHILDREN 3 2 GENS, PARENTS 4 2 GENS, GRANDCHLDRN 5 3 GENS, GRANDCHLDRN 6 3 GENS, CHLD, PAR 7 4 GENS 8 DK 9 NA	5701
RPLACE	Label: R's relationship to household head Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA	5702
RVISITOR	Label: Is R a visitor? Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 R. IS HOUSEHOLD MEMBER 2 R. IS VISITOR 8 DK 9 NA	5703
VISITORS	Label: Number of visitoR's in household Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1; 8; 9 Value Label -1 IAP 0 NO VISITORS 1 1 VISITOR 2 2 VISITORS 3 3 VISITORS 4 4 VISITORS 8 DK 9 NA	5704
RELHH1	Label: Relationship of person 1 to head of household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5705
RELHH2	Label: Relationship of person 2 to head of household Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5706
RELHH3	Label: Relationship of person 3 to head of household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5707
RELHH4	Label: Relationship of person 4 to head of household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5708
RELHH5	Label: Relationship of person 5 to head of household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5709
RELHH6	Label: Relationship of person 6 to head of household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5710
RELHH7	Label: Relationship of person 7 to head of household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5711
RELHH8	Label: Relationship of person 8 to head of household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5712
RELHH9	Label: Relationship of person 9 to head of household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5713
RELHH10	Label: Relationship of person 10 to head of household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5714
RELHH11	Label: Relationship of person 11 to head of household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5715
RELHH12	Label: Relationship of person 12 to head of household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5716
RELHH13	Label: Relationship of person 13 to head of household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5717
RELHH14	Label: Relationship of person 14 to head of household Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5718
RELSP1	Label: Relationship of person 1 to spouse of househol Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5719
RELSP2	Label: Relationship of person 2 to spouse of househol Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5720
RELSP3	Label: Relationship of person 3 to spouse of househol Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5721
RELSP4	Label: Relationship of person 4 to spouse of househol Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5722
RELSP5	Label: Relationship of person 5 to spouse of househol Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5723
RELSP6	Label: Relationship of person 6 to spouse of househol Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5724
RELSP7	Label: Relationship of person 7 to spouse of househol Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5725
RELSP8	Label: Relationship of person 8 to spouse of househol Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5726
RELSP9	Label: Relationship of person 9 to spouse of househol Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5727
RELSP10	Label: Relationship of person 10 to spouse of househo Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5728
RELSP11	Label: Relationship of person 11 to spouse of househo Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5729
RELSP12	Label: Relationship of person 12 to spouse of househo Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5730
RELSP13	Label: Relationship of person 13 to spouse of househo Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5731
RELSP14	Label: Relationship of person 14 to spouse of househo Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA	5732
DATEINTV	Label: Date of interview Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9999 Value Label 0 IAP 9999 NA	5733
ISCO68	Label: Respondent's occupation, 1970 census Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998 Value Label 0 IAP 9998 DK	5734
PAISCO68	Label: R's Father's occupation, 1970 census Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998 Value Label 0 IAP 9998 DK	5735
SPISCO68	Label: R's spouse's occupation, 1970 census Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998 Value Label 0 IAP 9998 DK	5736
ISCO681	Label: Respondent's occupation, 1980 census Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998 Value Label 0 IAP 9998 DK	5737
PAISC681	Label: R's Father's occupation, 1980 census Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998 Value Label 0 IAP 9998 DK	5738
MAISC681	Label: R's Mothers occupation, 1980 census Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998 Value Label 0 IAP 9998 DK	5739
SPISC681	Label: R's spouse's occupation, 1980 census Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998 Value Label 0 IAP 9998 DK	5740
ISCO88	Label: Respondent's occupation, 1980 census & 1988 ISCO code Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9997 Uncodeable 9998 DK 9999 NA	5741
PAISCO88	Label: R's Father's occupation, 1980 census & 1988 ISCO code Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9997 Uncodeable 9998 DK 9999 NA	5742
MAISCO88	Label: R's Mothers occupation, 1980 census & 1988 ISCO code Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9997 Uncodeable 9998 DK 9999 NA	5743
SPISCO88	Label: R's spouse's occupation, 1980 census & 1988 ISCO code Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 9997 Uncodeable 9998 DK 9999 NA	5744
ISCO08	Label: Respondent's occupation, 2010 census & 2008 ISCO code Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0; 9998; 9999 Value Label 0 IAP 110 Commissioned armed forces officers 210 Non-commissioned armed forces officers 310 Armed forces occupations, other ranks 1000 Managers 1100 Chief executives, senior officials and legislators 1110 Legislators and senior officials 1111 Legislators 1112 Senior government officials 1113 Traditional chiefs and heads of village 1114 Senior officials of special-interest organizations 1120 Managing directors and chief executives 1200 Administrative and commercial managers 1210 Business services and administration managers 1211 Finance managers 1212 Human resource managers 1213 Policy and planning managers 1219 Business services and administration managers not elsewhere classified 1220 Sales, marketing and development managers 1221 Sales and marketing managers 1222 Advertising and public relations managers 1223 Research and development managers 1300 Production and specialised services managers 1310 Production managers in agriculture, forestry and fisheries 1311 Agricultural and forestry production managers 1312 Aquaculture and fisheries production managers 1320 Manufacturing, mining, construction, and distribution managers 1321 Manufacturing managers 1322 Mining managers 1323 Construction managers 1324 Supply, distribution and related managers 1330 Information and communications technology service managers 1340 Professional services managers 1341 Child care services managers 1342 Health services managers 1343 Aged care services managers 1344 Social welfare managers 1345 Education managers 1346 Financial and insurance services branch managers 1349 Professional services managers not elsewhere classified 1400 Hospitality, retail and other services managers 1410 Hotel and restaurant managers 1411 Hotel managers 1412 Restaurant managers 1420 Retail and wholesale trade managers 1430 Other services managers 1431 Sports, recreation and cultural centre managers 1439 Services managers not elsewhere classified 2000 Professionals 2100 Science and engineering professionals 2110 Physical and earth science professionals 2111 Physicists and astronomers 2112 Meteorologists 2113 Chemists 2114 Geologists and geophysicists 2120 Mathematicians, actuaries and statisticians 2130 Life science professionals 2131 Biologists, botanists, zoologists and related professionals 2132 Farming, forestry and fisheries advisers 2133 Environmental protection professionals 2140 Engineering professionals (excluding electrotechnology) 2141 Industrial and production engineers 2142 Civil engineers 2143 Environmental engineers 2144 Mechanical engineers 2145 Chemical engineers 2146 Mining engineers, metallurgists and related professionals 2149 Engineering professionals not elsewhere classified 2150 Electrotechnology engineers 2151 Electrical engineers 2152 Electronics engineers 2153 Telecommunications engineers 2160 Architects, planners, surveyors and designers 2161 Building architects 2162 Landscape architects 2163 Product and garment designers 2164 Town and traffic planners 2165 Cartographers and surveyors 2166 Graphic and multimedia designers 2200 Health professionals 2210 Medical doctors 2211 Generalist medical practitioners 2212 Specialist medical practitioners 2220 Nursing and midwifery professionals 2221 Nursing professionals 2222 Midwifery professionals 2230 Traditional and complementary medicine professionals 2240 Paramedical practitioners 2250 Veterinarians 2260 Other health professionals 2261 Dentists 2262 Pharmacists 2263 Environmental and occupational health and hygiene professionals 2264 Physiotherapists 2265 Dieticians and nutritionists 2266 Audiologists and speech therapists 2267 Optometrists and ophthalmic opticians 2269 Health professionals not elsewhere classified 2300 Teaching professionals 2310 University and higher education teachers 2320 Vocational education teachers 2330 Secondary education teachers 2340 Primary school and early childhood teachers 2341 Primary school teachers 2342 Early childhood educators 2350 Other teaching professionals 2351 Education methods specialists 2352 Special needs teachers 2353 Other language teachers 2354 Other music teachers 2355 Other arts teachers 2356 Information technology trainers 2359 Teaching professionals not elsewhere classified 2400 Business and administration professionals 2410 Finance professionals 2411 Accountants 2412 Financial and investment advisers 2413 Financial analysts 2420 Administration professionals 2421 Management and organization analysts 2422 Policy administration professionals 2423 Personnel and careers professionals 2424 Training and staff development professionals 2430 Sales, marketing and public relations professionals 2431 Advertising and marketing professionals 2432 Public relations professionals 2433 Technical and medical sales professionals (excluding ICT) 2434 Information and communications technology sales professionals 2500 Information and communications technology professionals 2510 Software and applications developers and analysts 2511 Systems analysts 2512 Software developers 2513 Web and multimedia developers 2514 Applications programmers 2519 Software and applications developers and analysts not elsewhere classified 2520 Database and network professionals 2521 Database designers and administrators 2522 Systems administrators 2523 Computer network professionals 2529 Database and network professionals not elsewhere classified 2600 Legal, social and cultural professionals 2610 Legal professionals 2611 Lawyers 2612 Judges 2619 Legal professionals not elsewhere classified 2620 Librarians, archivists and curators 2621 Archivists and curators 2622 Librarians and related information professionals 2630 Social and religious professionals 2631 Economists 2632 Sociologists, anthropologists and related professionals 2633 Philosophers, historians and political scientists 2634 Psychologists 2635 Social work and counselling professionals 2636 Religious professionals 2640 Authors, journalists and linguists 2641 Authors and related writers 2642 Journalists 2643 Translators, interpreters and other linguists 2650 Creative and performing artists 2651 Visual artists 2652 Musicians, singers and composers 2653 Dancers and choreographers 2654 Film, stage and related directors and producers 2655 Actors 2656 Announcers on radio, television and other media 2659 Creative and performing artists not elsewhere classified 3000 Technicians and associate professionals 3100 Science and engineering associate professionals 3110 Physical and engineering science technicians 3111 Chemical and physical science technicians 3112 Civil engineering technicians 3113 Electrical engineering technicians 3114 Electronics engineering technicians 3115 Mechanical engineering technicians 3116 Chemical engineering technicians 3117 Mining and metallurgical technicians 3118 Draughtspersons 3119 Physical and engineering science technicians not elsewhere classified 3120 Mining, manufacturing and construction supervisors 3121 Mining supervisors 3122 Manufacturing supervisors 3123 Construction supervisors 3130 Process control technicians 3131 Power production plant operators 3132 Incinerator and water treatment plant operators 3133 Chemical processing plant controllers 3134 Petroleum and natural gas refining plant operators 3135 Metal production process controllers 3139 Process control technicians not elsewhere classified 3140 Life science technicians and related associate professionals 3141 Life science technicians (excluding medical) 3142 Agricultural technicians 3143 Forestry technicians 3150 Ship and aircraft controllers and technicians 3151 Ships' engineers 3152 Ships' deck officers and pilots 3153 Aircraft pilots and related associate professionals 3154 Air traffic controllers 3155 Air traffic safety electronics technicians 3200 Health associate professionals 3210 Medical and pharmaceutical technicians 3211 Medical imaging and therapeutic equipment technicians 3212 Medical and pathology laboratory technicians 3213 Pharmaceutical technicians and assistants 3214 Medical and dental prosthetic technicians 3220 Nursing and midwifery associate professionals 3221 Nursing associate professionals 3222 Midwifery associate professionals 3230 Traditional and complementary medicine associate professionals 3240 Veterinary technicians and assistants 3250 Other health associate professionals 3251 Dental assistants and therapists 3252 Medical records and health information technicians 3253 Community health workers 3254 Dispensing opticians 3255 Physiotherapy technicians and assistants 3256 Medical assistants 3257 Environmental and occupational health inspectors and associates 3258 Ambulance workers 3259 Health associate professionals not elsewhere classified 3300 Business and administration associate professionals 3310 Financial and mathematical associate professionals 3311 Securities and finance dealers and brokers 3312 Credit and loans officers 3313 Accounting associate professionals 3314 Statistical, mathematical and related associate professionals 3315 Valuers and loss assessors 3320 Sales and purchasing agents and brokers 3321 Insurance representatives 3322 Commercial sales representatives 3323 Buyers 3324 Trade brokers 3330 Business services agents 3331 Clearing and forwarding agents 3332 Conference and event planners 3333 Employment agents and contractors 3334 Real estate agents and property managers 3339 Business services agents not elsewhere classified 3340 Administrative and specialised secretaries 3341 Office supervisors 3342 Legal secretaries 3343 Administrative and executive secretaries 3344 Medical secretaries 3350 Regulatory government associate professionals 3351 Customs and border inspectors 3352 Government tax and excise officials 3353 Government social benefits officials 3354 Government licensing officials 3355 Police inspectors and detectives 3359 Regulatory government associate professionals not elsewhere classified 3400 Legal, social, cultural and related associate professionals 3410 Legal, social and religious associate professionals 3411 Police inspectors and detectives 3412 Social work associate professionals 3413 Religious associate professionals 3420 Sports and fitness workers 3421 Athletes and sports players 3422 Sports coaches, instructors and officials 3423 Fitness and recreation instructors and program leaders 3430 Artistic, cultural and culinary associate professionals 3431 Photographers 3432 Interior designers and decorators 3433 Gallery, museum and library technicians 3434 Chefs 3435 Other artistic and cultural associate professionals 3500 Information and communications technicians 3510 Information and communications technology operations and user support technicians 3511 Information and communications technology operations technicians 3512 Information and communications technology user support technicians 3513 Computer network and systems technicians 3514 Web technicians 3520 Telecommunications and broadcasting technicians 3521 Broadcasting and audio-visual technicians 3522 Telecommunications engineering technicians 4000 Clerical support workers 4100 General and keyboard clerks 4110 General office clerks 4120 Secretaries (general) 4130 Keyboard operators 4131 Typists and word processing operators 4132 Data entry clerks 4200 Customer services clerks 4210 Tellers, money collectors and related clerks 4211 Bank tellers and related clerks 4212 Bookmakers, croupiers and related gaming workers 4213 Pawnbrokers and money-lenders 4214 Debt-collectors and related workers 4220 Client information workers 4221 Travel consultants and clerks 4222 Contact centre information clerks 4223 Telephone switchboard operators 4224 Hotel receptionists 4225 Enquiry clerks 4226 Receptionists (general) 4227 Survey and market research interviewers 4229 Client information workers not elsewhere classified 4300 Numerical and material recording clerks 4310 Numerical clerks 4311 Accounting and bookkeeping clerks 4312 Statistical, finance and insurance clerks 4313 Payroll clerks 4320 Material-recording and transport clerks 4321 Stock clerks 4322 Production clerks 4323 Transport clerks 4400 Other clerical support workers 4410 Other clerical support workers 4411 Library clerks 4412 Mail carriers and sorting clerks 4413 Coding, proof-reading and related clerks 4414 Scribes and related workers 4415 Filing and copying clerks 4416 Personnel clerks 4419 Clerical support workers not elsewhere classified 5000 Service and sales workers 5100 Personal service workers 5110 Travel attendants, conductors and guides 5111 Travel attendants and travel stewards 5112 Transport conductors 5113 Travel guides 5120 Cooks 5130 Waiters and bartenders 5131 Waiters 5132 Bartenders 5140 Hairdressers, beauticians and related workers 5141 Hairdressers 5142 Beauticians and related workers 5150 Building and housekeeping supervisors 5151 Cleaning and housekeeping supervisors in offices, hotels and other establishments 5152 Domestic housekeepers 5153 Building caretakers 5160 Other personal services workers 5161 Astrologers, fortune-tellers and related workers 5162 Companions and valets 5163 Undertakers and embalmers 5164 Pet groomers and animal care workers 5165 Driving instructors 5169 Personal services workers not elsewhere classified 5200 Sales workers 5210 Street and market salespersons 5211 Stall and market salespersons 5212 Street food salespersons 5220 Shop salespersons 5221 Shop keepers 5222 Shop supervisors 5223 Shop sales assistants 5230 Cashiers and ticket clerks 5240 Other sales workers 5241 Fashion and other models 5242 Sales demonstrators 5243 Door to door salespersons 5244 Contact centre salespersons 5245 Service station attendants 5246 Food service counter attendants 5249 Sales workers not elsewhere classified 5300 Personal care workers 5310 Child care workers and teachers' aides 5311 Child care workers 5312 Teachers' aides 5320 Personal care workers in health services 5321 Health care assistants 5322 Home-based personal care workers 5329 Personal care workers in health services not elsewhere classified 5400 Protective services workers 5410 Protective services workers 5411 Fire-fighters 5412 Police officers 5413 Prison guards 5414 Security guards 5419 Protective services workers not elsewhere classified 6000 Skilled agricultural, forestry and fishery workers 6100 Market-oriented skilled agricultural workers 6110 Market gardeners and crop growers 6111 Field crop and vegetable growers 6112 Tree and shrub crop growers 6113 Gardeners, horticultural and nursery growers 6114 Mixed crop growers 6120 Animal producers 6121 Livestock and dairy producers 6122 Poultry producers 6123 Apiarists and sericulturists 6129 Animal producers not elsewhere classified 6130 Mixed crop and animal producers 6200 Market-oriented skilled forestry, fishery and hunting workers 6210 Forestry and related workers 6220 Fishery workers, hunters and trappers 6221 Aquaculture workers 6222 Inland and coastal waters fishery workers 6223 Deep-sea fishery workers 6224 Hunters and trappers 6300 Subsistence farmers, fishers, hunters and gatherers 6310 Subsistence crop farmers 6320 Subsistence livestock farmers 6330 Subsistence mixed crop and livestock farmers 6340 Subsistence fishers, hunters, trappers and gatherers 7000 Craft and related trades workers 7100 Building and related trades workers, excluding electricians 7110 Building frame and related trades workers 7111 House builders 7112 Bricklayers and related workers 7113 Stonemasons, stone cutters, splitters and carvers 7114 Concrete placers, concrete finishers and related workers 7115 Carpenters and joiners 7119 Building frame and related trades workers not elsewhere classified 7120 Building finishers and related trades workers 7121 Roofers 7122 Floor layers and tile setters 7123 Plasterers 7124 Insulation workers 7125 Glaziers 7126 Plumbers and pipe fitters 7127 Air conditioning and refrigeration mechanics 7130 Painters, building structure cleaners and related trades workers 7131 Painters and related workers 7132 Spray painters and varnishers 7133 Building structure cleaners 7200 Metal, machinery and related trades workers 7210 Sheet and structural metal workers, moulders and welders, and related workers 7211 Metal moulders and coremakers 7212 Welders and flamecutters 7213 Sheet-metal workers 7214 Structural-metal preparers and erectors 7215 Riggers and cable splicers 7220 Blacksmiths, toolmakers and related trades workers 7221 Blacksmiths, hammersmiths and forging press workers 7222 Toolmakers and related workers 7223 Metal working machine tool setters and operators 7224 Metal polishers, wheel grinders and tool sharpeners 7230 Machinery mechanics and repairers 7231 Motor vehicle mechanics and repairers 7232 Aircraft engine mechanics and repairers 7233 Agricultural and industrial machinery mechanics and repairers 7234 Bicycle and related repairers 7300 Handicraft and printing workers 7310 Handicraft workers 7311 Precision-instrument makers and repairers 7312 Musical instrument makers and tuners 7313 Jewellery and precious-metal workers 7314 Potters and related workers 7315 Glass makers, cutters, grinders and finishers 7316 Sign writers, decorative painters, engravers and etchers 7317 Handicraft workers in wood, basketry and related materials 7318 Handicraft workers in textile, leather and related materials 7319 Handicraft workers not elsewhere classified 7320 Printing trades workers 7321 Pre-press technicians 7322 Printers 7323 Print finishing and binding workers 7400 Electrical and electronic trades workers 7410 Electrical equipment installers and repairers 7411 Building and related electricians 7412 Electrical mechanics and fitters 7413 Electrical line installers and repairers 7420 Electronics and telecommunications installers and repairers 7421 Electronics mechanics and servicers 7422 Information and communications technology installers and servicers 7500 Food processing, wood working, garment and other craft and related trades workers 7510 Food processing and related trades workers 7511 Butchers, fishmongers and related food preparers 7512 Bakers, pastry-cooks and confectionery makers 7513 Dairy-products makers 7514 Fruit, vegetable and related preservers 7515 Food and beverage tasters and graders 7516 Tobacco preparers and tobacco products makers 7520 Wood treaters, cabinet-makers and related trades workers 7521 Wood treaters 7522 Cabinet-makers and related workers 7523 Woodworking-machine tool setters and operators 7530 Garment and related trades workers 7531 Tailors, dressmakers, furriers and hatters 7532 Garment and related pattern-makers and cutters 7533 Sewing, embroidery and related workers 7534 Upholsterers and related workers 7535 Pelt dressers, tanners and fellmongers 7536 Shoemakers and related workers 7540 Other craft and related workers 7541 Underwater divers 7542 Shotfirers and blasters 7543 Product graders and testers (excluding foods and beverages) 7544 Fumigators and other pest and weed controllers 7549 Craft and related workers not elsewhere classified 8000 Plant and machine operators, and assemblers 8100 Stationary plant and machine operators 8110 Mining and mineral processing plant operators 8111 Miners and quarriers 8112 Mineral and stone processing plant operators 8113 Well drillers and borers and related workers 8114 Cement, stone and other mineral products machine operators 8120 Metal processing and finishing plant operators 8121 Metal processing plant operators 8122 Metal finishing, plating and coating machine operators 8130 Chemical and photographic products plant and machine operators 8131 Chemical products plant and machine operators 8132 Photographic products machine operators 8140 Rubber, plastic and paper products machine operators 8141 Rubber products machine operators 8142 Plastic products machine operators 8143 Paper products machine operators 8150 Textile, fur and leather products machine operators 8151 Fibre preparing, spinning and winding machine operators 8152 Weaving and knitting machine operators 8153 Sewing machine operators 8154 Bleaching, dyeing and fabric cleaning machine operators 8155 Fur and leather preparing machine operators 8156 Shoemaking and related machine operators 8157 Laundry machine operators 8159 Textile, fur and leather products machine operators not elsewhere classified 8160 Food and related products machine operators 8170 Wood processing and papermaking plant operators 8171 Pulp and papermaking plant operators 8172 Wood processing plant operators 8180 Other stationary plant and machine operators 8181 Glass and ceramics plant operators 8182 Steam engine and boiler operators 8183 Packing, bottling and labelling machine operators 8189 Stationary plant and machine operators not elsewhere classified 8200 Assemblers 8210 Assemblers 8211 Mechanical machinery assemblers 8212 Electrical and electronic equipment assemblers 8219 Assemblers not elsewhere classified 8300 Drivers and mobile plant operators 8310 Locomotive engine drivers and related workers 8311 Locomotive engine drivers 8312 Railway brake, signal and switch operators 8320 Car, van and motorcycle drivers 8321 Motorcycle drivers 8322 Car, taxi and van drivers 8330 Heavy truck and bus drivers 8331 Bus and tram drivers 8332 Heavy truck and lorry drivers 8340 Mobile plant operators 8341 Mobile farm and forestry plant operators 8342 Earthmoving and related plant operators 8343 Crane, hoist and related plant operators 8344 Lifting truck operators 8350 Ships' deck crews and related workers 9000 Elementary occupations 9100 Cleaners and helpers 9110 Domestic, hotel and office cleaners and helpers 9111 Domestic cleaners and helpers 9112 Cleaners and helpers in offices, hotels and other establishments 9120 Vehicle, window, laundry and other hand cleaning workers 9121 Hand launderers and pressers 9122 Vehicle cleaners 9123 Window cleaners 9129 Other cleaning workers 9200 Agricultural, forestry and fishery labourers 9210 Agricultural, forestry and fishery labourers 9211 Crop farm labourers 9212 Livestock farm labourers 9213 Mixed crop and livestock farm labourers 9214 Garden and horticultural labourers 9215 Forestry labourers 9216 Fishery and aquaculture labourers 9300 Labourers in mining, construction, manufacturing and transport 9310 Mining and construction labourers 9311 Mining and quarrying labourers 9312 Civil engineering labourers 9313 Building construction labourers 9320 Manufacturing labourers 9321 Hand packers 9329 Manufacturing labourers not elsewhere classified 9330 Transport and storage labourers 9331 Hand and pedal vehicle drivers 9332 Drivers of animal-drawn vehicles and machinery 9333 Freight handlers 9334 Shelf fillers 9400 Food preparation assistants 9410 Food preparation assistants 9411 Fast food preparers 9412 Kitchen helpers 9500 Street and related sales and service workers 9510 Street and related service workers 9520 Street vendors (excluding food) 9600 Refuse workers and other elementary workers 9610 Refuse workers 9611 Garbage and recycling collectors 9612 Refuse sorters 9613 Sweepers and related labourers 9620 Other elementary workers 9621 Messengers, package deliverers and luggage porters 9622 Odd job persons 9623 Meter readers and vending-machine collectors 9624 Water and firewood collectors 9629 Elementary workers not elsewhere classified 9997 Uncodeable 9998 Don't know, inadequately described 9999 No answer	5745
PAISCO08	Label: R's Father's occupation, 2010 census & 2008 ISCO code Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0; 9998; 9999 Value Label 0 IAP 110 Commissioned armed forces officers 210 Non-commissioned armed forces officers 310 Armed forces occupations, other ranks 1000 Managers 1100 Chief executives, senior officials and legislators 1110 Legislators and senior officials 1111 Legislators 1112 Senior government officials 1113 Traditional chiefs and heads of village 1114 Senior officials of special-interest organizations 1120 Managing directors and chief executives 1200 Administrative and commercial managers 1210 Business services and administration managers 1211 Finance managers 1212 Human resource managers 1213 Policy and planning managers 1219 Business services and administration managers not elsewhere classified 1220 Sales, marketing and development managers 1221 Sales and marketing managers 1222 Advertising and public relations managers 1223 Research and development managers 1300 Production and specialised services managers 1310 Production managers in agriculture, forestry and fisheries 1311 Agricultural and forestry production managers 1312 Aquaculture and fisheries production managers 1320 Manufacturing, mining, construction, and distribution managers 1321 Manufacturing managers 1322 Mining managers 1323 Construction managers 1324 Supply, distribution and related managers 1330 Information and communications technology service managers 1340 Professional services managers 1341 Child care services managers 1342 Health services managers 1343 Aged care services managers 1344 Social welfare managers 1345 Education managers 1346 Financial and insurance services branch managers 1349 Professional services managers not elsewhere classified 1400 Hospitality, retail and other services managers 1410 Hotel and restaurant managers 1411 Hotel managers 1412 Restaurant managers 1420 Retail and wholesale trade managers 1430 Other services managers 1431 Sports, recreation and cultural centre managers 1439 Services managers not elsewhere classified 2000 Professionals 2100 Science and engineering professionals 2110 Physical and earth science professionals 2111 Physicists and astronomers 2112 Meteorologists 2113 Chemists 2114 Geologists and geophysicists 2120 Mathematicians, actuaries and statisticians 2130 Life science professionals 2131 Biologists, botanists, zoologists and related professionals 2132 Farming, forestry and fisheries advisers 2133 Environmental protection professionals 2140 Engineering professionals (excluding electrotechnology) 2141 Industrial and production engineers 2142 Civil engineers 2143 Environmental engineers 2144 Mechanical engineers 2145 Chemical engineers 2146 Mining engineers, metallurgists and related professionals 2149 Engineering professionals not elsewhere classified 2150 Electrotechnology engineers 2151 Electrical engineers 2152 Electronics engineers 2153 Telecommunications engineers 2160 Architects, planners, surveyors and designers 2161 Building architects 2162 Landscape architects 2163 Product and garment designers 2164 Town and traffic planners 2165 Cartographers and surveyors 2166 Graphic and multimedia designers 2200 Health professionals 2210 Medical doctors 2211 Generalist medical practitioners 2212 Specialist medical practitioners 2220 Nursing and midwifery professionals 2221 Nursing professionals 2222 Midwifery professionals 2230 Traditional and complementary medicine professionals 2240 Paramedical practitioners 2250 Veterinarians 2260 Other health professionals 2261 Dentists 2262 Pharmacists 2263 Environmental and occupational health and hygiene professionals 2264 Physiotherapists 2265 Dieticians and nutritionists 2266 Audiologists and speech therapists 2267 Optometrists and ophthalmic opticians 2269 Health professionals not elsewhere classified 2300 Teaching professionals 2310 University and higher education teachers 2320 Vocational education teachers 2330 Secondary education teachers 2340 Primary school and early childhood teachers 2341 Primary school teachers 2342 Early childhood educators 2350 Other teaching professionals 2351 Education methods specialists 2352 Special needs teachers 2353 Other language teachers 2354 Other music teachers 2355 Other arts teachers 2356 Information technology trainers 2359 Teaching professionals not elsewhere classified 2400 Business and administration professionals 2410 Finance professionals 2411 Accountants 2412 Financial and investment advisers 2413 Financial analysts 2420 Administration professionals 2421 Management and organization analysts 2422 Policy administration professionals 2423 Personnel and careers professionals 2424 Training and staff development professionals 2430 Sales, marketing and public relations professionals 2431 Advertising and marketing professionals 2432 Public relations professionals 2433 Technical and medical sales professionals (excluding ICT) 2434 Information and communications technology sales professionals 2500 Information and communications technology professionals 2510 Software and applications developers and analysts 2511 Systems analysts 2512 Software developers 2513 Web and multimedia developers 2514 Applications programmers 2519 Software and applications developers and analysts not elsewhere classified 2520 Database and network professionals 2521 Database designers and administrators 2522 Systems administrators 2523 Computer network professionals 2529 Database and network professionals not elsewhere classified 2600 Legal, social and cultural professionals 2610 Legal professionals 2611 Lawyers 2612 Judges 2619 Legal professionals not elsewhere classified 2620 Librarians, archivists and curators 2621 Archivists and curators 2622 Librarians and related information professionals 2630 Social and religious professionals 2631 Economists 2632 Sociologists, anthropologists and related professionals 2633 Philosophers, historians and political scientists 2634 Psychologists 2635 Social work and counselling professionals 2636 Religious professionals 2640 Authors, journalists and linguists 2641 Authors and related writers 2642 Journalists 2643 Translators, interpreters and other linguists 2650 Creative and performing artists 2651 Visual artists 2652 Musicians, singers and composers 2653 Dancers and choreographers 2654 Film, stage and related directors and producers 2655 Actors 2656 Announcers on radio, television and other media 2659 Creative and performing artists not elsewhere classified 3000 Technicians and associate professionals 3100 Science and engineering associate professionals 3110 Physical and engineering science technicians 3111 Chemical and physical science technicians 3112 Civil engineering technicians 3113 Electrical engineering technicians 3114 Electronics engineering technicians 3115 Mechanical engineering technicians 3116 Chemical engineering technicians 3117 Mining and metallurgical technicians 3118 Draughtspersons 3119 Physical and engineering science technicians not elsewhere classified 3120 Mining, manufacturing and construction supervisors 3121 Mining supervisors 3122 Manufacturing supervisors 3123 Construction supervisors 3130 Process control technicians 3131 Power production plant operators 3132 Incinerator and water treatment plant operators 3133 Chemical processing plant controllers 3134 Petroleum and natural gas refining plant operators 3135 Metal production process controllers 3139 Process control technicians not elsewhere classified 3140 Life science technicians and related associate professionals 3141 Life science technicians (excluding medical) 3142 Agricultural technicians 3143 Forestry technicians 3150 Ship and aircraft controllers and technicians 3151 Ships' engineers 3152 Ships' deck officers and pilots 3153 Aircraft pilots and related associate professionals 3154 Air traffic controllers 3155 Air traffic safety electronics technicians 3200 Health associate professionals 3210 Medical and pharmaceutical technicians 3211 Medical imaging and therapeutic equipment technicians 3212 Medical and pathology laboratory technicians 3213 Pharmaceutical technicians and assistants 3214 Medical and dental prosthetic technicians 3220 Nursing and midwifery associate professionals 3221 Nursing associate professionals 3222 Midwifery associate professionals 3230 Traditional and complementary medicine associate professionals 3240 Veterinary technicians and assistants 3250 Other health associate professionals 3251 Dental assistants and therapists 3252 Medical records and health information technicians 3253 Community health workers 3254 Dispensing opticians 3255 Physiotherapy technicians and assistants 3256 Medical assistants 3257 Environmental and occupational health inspectors and associates 3258 Ambulance workers 3259 Health associate professionals not elsewhere classified 3300 Business and administration associate professionals 3310 Financial and mathematical associate professionals 3311 Securities and finance dealers and brokers 3312 Credit and loans officers 3313 Accounting associate professionals 3314 Statistical, mathematical and related associate professionals 3315 Valuers and loss assessors 3320 Sales and purchasing agents and brokers 3321 Insurance representatives 3322 Commercial sales representatives 3323 Buyers 3324 Trade brokers 3330 Business services agents 3331 Clearing and forwarding agents 3332 Conference and event planners 3333 Employment agents and contractors 3334 Real estate agents and property managers 3339 Business services agents not elsewhere classified 3340 Administrative and specialised secretaries 3341 Office supervisors 3342 Legal secretaries 3343 Administrative and executive secretaries 3344 Medical secretaries 3350 Regulatory government associate professionals 3351 Customs and border inspectors 3352 Government tax and excise officials 3353 Government social benefits officials 3354 Government licensing officials 3355 Police inspectors and detectives 3359 Regulatory government associate professionals not elsewhere classified 3400 Legal, social, cultural and related associate professionals 3410 Legal, social and religious associate professionals 3411 Police inspectors and detectives 3412 Social work associate professionals 3413 Religious associate professionals 3420 Sports and fitness workers 3421 Athletes and sports players 3422 Sports coaches, instructors and officials 3423 Fitness and recreation instructors and program leaders 3430 Artistic, cultural and culinary associate professionals 3431 Photographers 3432 Interior designers and decorators 3433 Gallery, museum and library technicians 3434 Chefs 3435 Other artistic and cultural associate professionals 3500 Information and communications technicians 3510 Information and communications technology operations and user support technicians 3511 Information and communications technology operations technicians 3512 Information and communications technology user support technicians 3513 Computer network and systems technicians 3514 Web technicians 3520 Telecommunications and broadcasting technicians 3521 Broadcasting and audio-visual technicians 3522 Telecommunications engineering technicians 4000 Clerical support workers 4100 General and keyboard clerks 4110 General office clerks 4120 Secretaries (general) 4130 Keyboard operators 4131 Typists and word processing operators 4132 Data entry clerks 4200 Customer services clerks 4210 Tellers, money collectors and related clerks 4211 Bank tellers and related clerks 4212 Bookmakers, croupiers and related gaming workers 4213 Pawnbrokers and money-lenders 4214 Debt-collectors and related workers 4220 Client information workers 4221 Travel consultants and clerks 4222 Contact centre information clerks 4223 Telephone switchboard operators 4224 Hotel receptionists 4225 Enquiry clerks 4226 Receptionists (general) 4227 Survey and market research interviewers 4229 Client information workers not elsewhere classified 4300 Numerical and material recording clerks 4310 Numerical clerks 4311 Accounting and bookkeeping clerks 4312 Statistical, finance and insurance clerks 4313 Payroll clerks 4320 Material-recording and transport clerks 4321 Stock clerks 4322 Production clerks 4323 Transport clerks 4400 Other clerical support workers 4410 Other clerical support workers 4411 Library clerks 4412 Mail carriers and sorting clerks 4413 Coding, proof-reading and related clerks 4414 Scribes and related workers 4415 Filing and copying clerks 4416 Personnel clerks 4419 Clerical support workers not elsewhere classified 5000 Service and sales workers 5100 Personal service workers 5110 Travel attendants, conductors and guides 5111 Travel attendants and travel stewards 5112 Transport conductors 5113 Travel guides 5120 Cooks 5130 Waiters and bartenders 5131 Waiters 5132 Bartenders 5140 Hairdressers, beauticians and related workers 5141 Hairdressers 5142 Beauticians and related workers 5150 Building and housekeeping supervisors 5151 Cleaning and housekeeping supervisors in offices, hotels and other establishments 5152 Domestic housekeepers 5153 Building caretakers 5160 Other personal services workers 5161 Astrologers, fortune-tellers and related workers 5162 Companions and valets 5163 Undertakers and embalmers 5164 Pet groomers and animal care workers 5165 Driving instructors 5169 Personal services workers not elsewhere classified 5200 Sales workers 5210 Street and market salespersons 5211 Stall and market salespersons 5212 Street food salespersons 5220 Shop salespersons 5221 Shop keepers 5222 Shop supervisors 5223 Shop sales assistants 5230 Cashiers and ticket clerks 5240 Other sales workers 5241 Fashion and other models 5242 Sales demonstrators 5243 Door to door salespersons 5244 Contact centre salespersons 5245 Service station attendants 5246 Food service counter attendants 5249 Sales workers not elsewhere classified 5300 Personal care workers 5310 Child care workers and teachers' aides 5311 Child care workers 5312 Teachers' aides 5320 Personal care workers in health services 5321 Health care assistants 5322 Home-based personal care workers 5329 Personal care workers in health services not elsewhere classified 5400 Protective services workers 5410 Protective services workers 5411 Fire-fighters 5412 Police officers 5413 Prison guards 5414 Security guards 5419 Protective services workers not elsewhere classified 6000 Skilled agricultural, forestry and fishery workers 6100 Market-oriented skilled agricultural workers 6110 Market gardeners and crop growers 6111 Field crop and vegetable growers 6112 Tree and shrub crop growers 6113 Gardeners, horticultural and nursery growers 6114 Mixed crop growers 6120 Animal producers 6121 Livestock and dairy producers 6122 Poultry producers 6123 Apiarists and sericulturists 6129 Animal producers not elsewhere classified 6130 Mixed crop and animal producers 6200 Market-oriented skilled forestry, fishery and hunting workers 6210 Forestry and related workers 6220 Fishery workers, hunters and trappers 6221 Aquaculture workers 6222 Inland and coastal waters fishery workers 6223 Deep-sea fishery workers 6224 Hunters and trappers 6300 Subsistence farmers, fishers, hunters and gatherers 6310 Subsistence crop farmers 6320 Subsistence livestock farmers 6330 Subsistence mixed crop and livestock farmers 6340 Subsistence fishers, hunters, trappers and gatherers 7000 Craft and related trades workers 7100 Building and related trades workers, excluding electricians 7110 Building frame and related trades workers 7111 House builders 7112 Bricklayers and related workers 7113 Stonemasons, stone cutters, splitters and carvers 7114 Concrete placers, concrete finishers and related workers 7115 Carpenters and joiners 7119 Building frame and related trades workers not elsewhere classified 7120 Building finishers and related trades workers 7121 Roofers 7122 Floor layers and tile setters 7123 Plasterers 7124 Insulation workers 7125 Glaziers 7126 Plumbers and pipe fitters 7127 Air conditioning and refrigeration mechanics 7130 Painters, building structure cleaners and related trades workers 7131 Painters and related workers 7132 Spray painters and varnishers 7133 Building structure cleaners 7200 Metal, machinery and related trades workers 7210 Sheet and structural metal workers, moulders and welders, and related workers 7211 Metal moulders and coremakers 7212 Welders and flamecutters 7213 Sheet-metal workers 7214 Structural-metal preparers and erectors 7215 Riggers and cable splicers 7220 Blacksmiths, toolmakers and related trades workers 7221 Blacksmiths, hammersmiths and forging press workers 7222 Toolmakers and related workers 7223 Metal working machine tool setters and operators 7224 Metal polishers, wheel grinders and tool sharpeners 7230 Machinery mechanics and repairers 7231 Motor vehicle mechanics and repairers 7232 Aircraft engine mechanics and repairers 7233 Agricultural and industrial machinery mechanics and repairers 7234 Bicycle and related repairers 7300 Handicraft and printing workers 7310 Handicraft workers 7311 Precision-instrument makers and repairers 7312 Musical instrument makers and tuners 7313 Jewellery and precious-metal workers 7314 Potters and related workers 7315 Glass makers, cutters, grinders and finishers 7316 Sign writers, decorative painters, engravers and etchers 7317 Handicraft workers in wood, basketry and related materials 7318 Handicraft workers in textile, leather and related materials 7319 Handicraft workers not elsewhere classified 7320 Printing trades workers 7321 Pre-press technicians 7322 Printers 7323 Print finishing and binding workers 7400 Electrical and electronic trades workers 7410 Electrical equipment installers and repairers 7411 Building and related electricians 7412 Electrical mechanics and fitters 7413 Electrical line installers and repairers 7420 Electronics and telecommunications installers and repairers 7421 Electronics mechanics and servicers 7422 Information and communications technology installers and servicers 7500 Food processing, wood working, garment and other craft and related trades workers 7510 Food processing and related trades workers 7511 Butchers, fishmongers and related food preparers 7512 Bakers, pastry-cooks and confectionery makers 7513 Dairy-products makers 7514 Fruit, vegetable and related preservers 7515 Food and beverage tasters and graders 7516 Tobacco preparers and tobacco products makers 7520 Wood treaters, cabinet-makers and related trades workers 7521 Wood treaters 7522 Cabinet-makers and related workers 7523 Woodworking-machine tool setters and operators 7530 Garment and related trades workers 7531 Tailors, dressmakers, furriers and hatters 7532 Garment and related pattern-makers and cutters 7533 Sewing, embroidery and related workers 7534 Upholsterers and related workers 7535 Pelt dressers, tanners and fellmongers 7536 Shoemakers and related workers 7540 Other craft and related workers 7541 Underwater divers 7542 Shotfirers and blasters 7543 Product graders and testers (excluding foods and beverages) 7544 Fumigators and other pest and weed controllers 7549 Craft and related workers not elsewhere classified 8000 Plant and machine operators, and assemblers 8100 Stationary plant and machine operators 8110 Mining and mineral processing plant operators 8111 Miners and quarriers 8112 Mineral and stone processing plant operators 8113 Well drillers and borers and related workers 8114 Cement, stone and other mineral products machine operators 8120 Metal processing and finishing plant operators 8121 Metal processing plant operators 8122 Metal finishing, plating and coating machine operators 8130 Chemical and photographic products plant and machine operators 8131 Chemical products plant and machine operators 8132 Photographic products machine operators 8140 Rubber, plastic and paper products machine operators 8141 Rubber products machine operators 8142 Plastic products machine operators 8143 Paper products machine operators 8150 Textile, fur and leather products machine operators 8151 Fibre preparing, spinning and winding machine operators 8152 Weaving and knitting machine operators 8153 Sewing machine operators 8154 Bleaching, dyeing and fabric cleaning machine operators 8155 Fur and leather preparing machine operators 8156 Shoemaking and related machine operators 8157 Laundry machine operators 8159 Textile, fur and leather products machine operators not elsewhere classified 8160 Food and related products machine operators 8170 Wood processing and papermaking plant operators 8171 Pulp and papermaking plant operators 8172 Wood processing plant operators 8180 Other stationary plant and machine operators 8181 Glass and ceramics plant operators 8182 Steam engine and boiler operators 8183 Packing, bottling and labelling machine operators 8189 Stationary plant and machine operators not elsewhere classified 8200 Assemblers 8210 Assemblers 8211 Mechanical machinery assemblers 8212 Electrical and electronic equipment assemblers 8219 Assemblers not elsewhere classified 8300 Drivers and mobile plant operators 8310 Locomotive engine drivers and related workers 8311 Locomotive engine drivers 8312 Railway brake, signal and switch operators 8320 Car, van and motorcycle drivers 8321 Motorcycle drivers 8322 Car, taxi and van drivers 8330 Heavy truck and bus drivers 8331 Bus and tram drivers 8332 Heavy truck and lorry drivers 8340 Mobile plant operators 8341 Mobile farm and forestry plant operators 8342 Earthmoving and related plant operators 8343 Crane, hoist and related plant operators 8344 Lifting truck operators 8350 Ships' deck crews and related workers 9000 Elementary occupations 9100 Cleaners and helpers 9110 Domestic, hotel and office cleaners and helpers 9111 Domestic cleaners and helpers 9112 Cleaners and helpers in offices, hotels and other establishments 9120 Vehicle, window, laundry and other hand cleaning workers 9121 Hand launderers and pressers 9122 Vehicle cleaners 9123 Window cleaners 9129 Other cleaning workers 9200 Agricultural, forestry and fishery labourers 9210 Agricultural, forestry and fishery labourers 9211 Crop farm labourers 9212 Livestock farm labourers 9213 Mixed crop and livestock farm labourers 9214 Garden and horticultural labourers 9215 Forestry labourers 9216 Fishery and aquaculture labourers 9300 Labourers in mining, construction, manufacturing and transport 9310 Mining and construction labourers 9311 Mining and quarrying labourers 9312 Civil engineering labourers 9313 Building construction labourers 9320 Manufacturing labourers 9321 Hand packers 9329 Manufacturing labourers not elsewhere classified 9330 Transport and storage labourers 9331 Hand and pedal vehicle drivers 9332 Drivers of animal-drawn vehicles and machinery 9333 Freight handlers 9334 Shelf fillers 9400 Food preparation assistants 9410 Food preparation assistants 9411 Fast food preparers 9412 Kitchen helpers 9500 Street and related sales and service workers 9510 Street and related service workers 9520 Street vendors (excluding food) 9600 Refuse workers and other elementary workers 9610 Refuse workers 9611 Garbage and recycling collectors 9612 Refuse sorters 9613 Sweepers and related labourers 9620 Other elementary workers 9621 Messengers, package deliverers and luggage porters 9622 Odd job persons 9623 Meter readers and vending-machine collectors 9624 Water and firewood collectors 9629 Elementary workers not elsewhere classified 9997 Uncodeable 9998 Don't know, inadequately described 9999 No answer	5746
MAISCO08	Label: R's spouse's occupation, 2010 census & 2008 ISCO code Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0; 9998; 9999 Value Label 0 IAP 110 Commissioned armed forces officers 210 Non-commissioned armed forces officers 310 Armed forces occupations, other ranks 1000 Managers 1100 Chief executives, senior officials and legislators 1110 Legislators and senior officials 1111 Legislators 1112 Senior government officials 1113 Traditional chiefs and heads of village 1114 Senior officials of special-interest organizations 1120 Managing directors and chief executives 1200 Administrative and commercial managers 1210 Business services and administration managers 1211 Finance managers 1212 Human resource managers 1213 Policy and planning managers 1219 Business services and administration managers not elsewhere classified 1220 Sales, marketing and development managers 1221 Sales and marketing managers 1222 Advertising and public relations managers 1223 Research and development managers 1300 Production and specialised services managers 1310 Production managers in agriculture, forestry and fisheries 1311 Agricultural and forestry production managers 1312 Aquaculture and fisheries production managers 1320 Manufacturing, mining, construction, and distribution managers 1321 Manufacturing managers 1322 Mining managers 1323 Construction managers 1324 Supply, distribution and related managers 1330 Information and communications technology service managers 1340 Professional services managers 1341 Child care services managers 1342 Health services managers 1343 Aged care services managers 1344 Social welfare managers 1345 Education managers 1346 Financial and insurance services branch managers 1349 Professional services managers not elsewhere classified 1400 Hospitality, retail and other services managers 1410 Hotel and restaurant managers 1411 Hotel managers 1412 Restaurant managers 1420 Retail and wholesale trade managers 1430 Other services managers 1431 Sports, recreation and cultural centre managers 1439 Services managers not elsewhere classified 2000 Professionals 2100 Science and engineering professionals 2110 Physical and earth science professionals 2111 Physicists and astronomers 2112 Meteorologists 2113 Chemists 2114 Geologists and geophysicists 2120 Mathematicians, actuaries and statisticians 2130 Life science professionals 2131 Biologists, botanists, zoologists and related professionals 2132 Farming, forestry and fisheries advisers 2133 Environmental protection professionals 2140 Engineering professionals (excluding electrotechnology) 2141 Industrial and production engineers 2142 Civil engineers 2143 Environmental engineers 2144 Mechanical engineers 2145 Chemical engineers 2146 Mining engineers, metallurgists and related professionals 2149 Engineering professionals not elsewhere classified 2150 Electrotechnology engineers 2151 Electrical engineers 2152 Electronics engineers 2153 Telecommunications engineers 2160 Architects, planners, surveyors and designers 2161 Building architects 2162 Landscape architects 2163 Product and garment designers 2164 Town and traffic planners 2165 Cartographers and surveyors 2166 Graphic and multimedia designers 2200 Health professionals 2210 Medical doctors 2211 Generalist medical practitioners 2212 Specialist medical practitioners 2220 Nursing and midwifery professionals 2221 Nursing professionals 2222 Midwifery professionals 2230 Traditional and complementary medicine professionals 2240 Paramedical practitioners 2250 Veterinarians 2260 Other health professionals 2261 Dentists 2262 Pharmacists 2263 Environmental and occupational health and hygiene professionals 2264 Physiotherapists 2265 Dieticians and nutritionists 2266 Audiologists and speech therapists 2267 Optometrists and ophthalmic opticians 2269 Health professionals not elsewhere classified 2300 Teaching professionals 2310 University and higher education teachers 2320 Vocational education teachers 2330 Secondary education teachers 2340 Primary school and early childhood teachers 2341 Primary school teachers 2342 Early childhood educators 2350 Other teaching professionals 2351 Education methods specialists 2352 Special needs teachers 2353 Other language teachers 2354 Other music teachers 2355 Other arts teachers 2356 Information technology trainers 2359 Teaching professionals not elsewhere classified 2400 Business and administration professionals 2410 Finance professionals 2411 Accountants 2412 Financial and investment advisers 2413 Financial analysts 2420 Administration professionals 2421 Management and organization analysts 2422 Policy administration professionals 2423 Personnel and careers professionals 2424 Training and staff development professionals 2430 Sales, marketing and public relations professionals 2431 Advertising and marketing professionals 2432 Public relations professionals 2433 Technical and medical sales professionals (excluding ICT) 2434 Information and communications technology sales professionals 2500 Information and communications technology professionals 2510 Software and applications developers and analysts 2511 Systems analysts 2512 Software developers 2513 Web and multimedia developers 2514 Applications programmers 2519 Software and applications developers and analysts not elsewhere classified 2520 Database and network professionals 2521 Database designers and administrators 2522 Systems administrators 2523 Computer network professionals 2529 Database and network professionals not elsewhere classified 2600 Legal, social and cultural professionals 2610 Legal professionals 2611 Lawyers 2612 Judges 2619 Legal professionals not elsewhere classified 2620 Librarians, archivists and curators 2621 Archivists and curators 2622 Librarians and related information professionals 2630 Social and religious professionals 2631 Economists 2632 Sociologists, anthropologists and related professionals 2633 Philosophers, historians and political scientists 2634 Psychologists 2635 Social work and counselling professionals 2636 Religious professionals 2640 Authors, journalists and linguists 2641 Authors and related writers 2642 Journalists 2643 Translators, interpreters and other linguists 2650 Creative and performing artists 2651 Visual artists 2652 Musicians, singers and composers 2653 Dancers and choreographers 2654 Film, stage and related directors and producers 2655 Actors 2656 Announcers on radio, television and other media 2659 Creative and performing artists not elsewhere classified 3000 Technicians and associate professionals 3100 Science and engineering associate professionals 3110 Physical and engineering science technicians 3111 Chemical and physical science technicians 3112 Civil engineering technicians 3113 Electrical engineering technicians 3114 Electronics engineering technicians 3115 Mechanical engineering technicians 3116 Chemical engineering technicians 3117 Mining and metallurgical technicians 3118 Draughtspersons 3119 Physical and engineering science technicians not elsewhere classified 3120 Mining, manufacturing and construction supervisors 3121 Mining supervisors 3122 Manufacturing supervisors 3123 Construction supervisors 3130 Process control technicians 3131 Power production plant operators 3132 Incinerator and water treatment plant operators 3133 Chemical processing plant controllers 3134 Petroleum and natural gas refining plant operators 3135 Metal production process controllers 3139 Process control technicians not elsewhere classified 3140 Life science technicians and related associate professionals 3141 Life science technicians (excluding medical) 3142 Agricultural technicians 3143 Forestry technicians 3150 Ship and aircraft controllers and technicians 3151 Ships' engineers 3152 Ships' deck officers and pilots 3153 Aircraft pilots and related associate professionals 3154 Air traffic controllers 3155 Air traffic safety electronics technicians 3200 Health associate professionals 3210 Medical and pharmaceutical technicians 3211 Medical imaging and therapeutic equipment technicians 3212 Medical and pathology laboratory technicians 3213 Pharmaceutical technicians and assistants 3214 Medical and dental prosthetic technicians 3220 Nursing and midwifery associate professionals 3221 Nursing associate professionals 3222 Midwifery associate professionals 3230 Traditional and complementary medicine associate professionals 3240 Veterinary technicians and assistants 3250 Other health associate professionals 3251 Dental assistants and therapists 3252 Medical records and health information technicians 3253 Community health workers 3254 Dispensing opticians 3255 Physiotherapy technicians and assistants 3256 Medical assistants 3257 Environmental and occupational health inspectors and associates 3258 Ambulance workers 3259 Health associate professionals not elsewhere classified 3300 Business and administration associate professionals 3310 Financial and mathematical associate professionals 3311 Securities and finance dealers and brokers 3312 Credit and loans officers 3313 Accounting associate professionals 3314 Statistical, mathematical and related associate professionals 3315 Valuers and loss assessors 3320 Sales and purchasing agents and brokers 3321 Insurance representatives 3322 Commercial sales representatives 3323 Buyers 3324 Trade brokers 3330 Business services agents 3331 Clearing and forwarding agents 3332 Conference and event planners 3333 Employment agents and contractors 3334 Real estate agents and property managers 3339 Business services agents not elsewhere classified 3340 Administrative and specialised secretaries 3341 Office supervisors 3342 Legal secretaries 3343 Administrative and executive secretaries 3344 Medical secretaries 3350 Regulatory government associate professionals 3351 Customs and border inspectors 3352 Government tax and excise officials 3353 Government social benefits officials 3354 Government licensing officials 3355 Police inspectors and detectives 3359 Regulatory government associate professionals not elsewhere classified 3400 Legal, social, cultural and related associate professionals 3410 Legal, social and religious associate professionals 3411 Police inspectors and detectives 3412 Social work associate professionals 3413 Religious associate professionals 3420 Sports and fitness workers 3421 Athletes and sports players 3422 Sports coaches, instructors and officials 3423 Fitness and recreation instructors and program leaders 3430 Artistic, cultural and culinary associate professionals 3431 Photographers 3432 Interior designers and decorators 3433 Gallery, museum and library technicians 3434 Chefs 3435 Other artistic and cultural associate professionals 3500 Information and communications technicians 3510 Information and communications technology operations and user support technicians 3511 Information and communications technology operations technicians 3512 Information and communications technology user support technicians 3513 Computer network and systems technicians 3514 Web technicians 3520 Telecommunications and broadcasting technicians 3521 Broadcasting and audio-visual technicians 3522 Telecommunications engineering technicians 4000 Clerical support workers 4100 General and keyboard clerks 4110 General office clerks 4120 Secretaries (general) 4130 Keyboard operators 4131 Typists and word processing operators 4132 Data entry clerks 4200 Customer services clerks 4210 Tellers, money collectors and related clerks 4211 Bank tellers and related clerks 4212 Bookmakers, croupiers and related gaming workers 4213 Pawnbrokers and money-lenders 4214 Debt-collectors and related workers 4220 Client information workers 4221 Travel consultants and clerks 4222 Contact centre information clerks 4223 Telephone switchboard operators 4224 Hotel receptionists 4225 Enquiry clerks 4226 Receptionists (general) 4227 Survey and market research interviewers 4229 Client information workers not elsewhere classified 4300 Numerical and material recording clerks 4310 Numerical clerks 4311 Accounting and bookkeeping clerks 4312 Statistical, finance and insurance clerks 4313 Payroll clerks 4320 Material-recording and transport clerks 4321 Stock clerks 4322 Production clerks 4323 Transport clerks 4400 Other clerical support workers 4410 Other clerical support workers 4411 Library clerks 4412 Mail carriers and sorting clerks 4413 Coding, proof-reading and related clerks 4414 Scribes and related workers 4415 Filing and copying clerks 4416 Personnel clerks 4419 Clerical support workers not elsewhere classified 5000 Service and sales workers 5100 Personal service workers 5110 Travel attendants, conductors and guides 5111 Travel attendants and travel stewards 5112 Transport conductors 5113 Travel guides 5120 Cooks 5130 Waiters and bartenders 5131 Waiters 5132 Bartenders 5140 Hairdressers, beauticians and related workers 5141 Hairdressers 5142 Beauticians and related workers 5150 Building and housekeeping supervisors 5151 Cleaning and housekeeping supervisors in offices, hotels and other establishments 5152 Domestic housekeepers 5153 Building caretakers 5160 Other personal services workers 5161 Astrologers, fortune-tellers and related workers 5162 Companions and valets 5163 Undertakers and embalmers 5164 Pet groomers and animal care workers 5165 Driving instructors 5169 Personal services workers not elsewhere classified 5200 Sales workers 5210 Street and market salespersons 5211 Stall and market salespersons 5212 Street food salespersons 5220 Shop salespersons 5221 Shop keepers 5222 Shop supervisors 5223 Shop sales assistants 5230 Cashiers and ticket clerks 5240 Other sales workers 5241 Fashion and other models 5242 Sales demonstrators 5243 Door to door salespersons 5244 Contact centre salespersons 5245 Service station attendants 5246 Food service counter attendants 5249 Sales workers not elsewhere classified 5300 Personal care workers 5310 Child care workers and teachers' aides 5311 Child care workers 5312 Teachers' aides 5320 Personal care workers in health services 5321 Health care assistants 5322 Home-based personal care workers 5329 Personal care workers in health services not elsewhere classified 5400 Protective services workers 5410 Protective services workers 5411 Fire-fighters 5412 Police officers 5413 Prison guards 5414 Security guards 5419 Protective services workers not elsewhere classified 6000 Skilled agricultural, forestry and fishery workers 6100 Market-oriented skilled agricultural workers 6110 Market gardeners and crop growers 6111 Field crop and vegetable growers 6112 Tree and shrub crop growers 6113 Gardeners, horticultural and nursery growers 6114 Mixed crop growers 6120 Animal producers 6121 Livestock and dairy producers 6122 Poultry producers 6123 Apiarists and sericulturists 6129 Animal producers not elsewhere classified 6130 Mixed crop and animal producers 6200 Market-oriented skilled forestry, fishery and hunting workers 6210 Forestry and related workers 6220 Fishery workers, hunters and trappers 6221 Aquaculture workers 6222 Inland and coastal waters fishery workers 6223 Deep-sea fishery workers 6224 Hunters and trappers 6300 Subsistence farmers, fishers, hunters and gatherers 6310 Subsistence crop farmers 6320 Subsistence livestock farmers 6330 Subsistence mixed crop and livestock farmers 6340 Subsistence fishers, hunters, trappers and gatherers 7000 Craft and related trades workers 7100 Building and related trades workers, excluding electricians 7110 Building frame and related trades workers 7111 House builders 7112 Bricklayers and related workers 7113 Stonemasons, stone cutters, splitters and carvers 7114 Concrete placers, concrete finishers and related workers 7115 Carpenters and joiners 7119 Building frame and related trades workers not elsewhere classified 7120 Building finishers and related trades workers 7121 Roofers 7122 Floor layers and tile setters 7123 Plasterers 7124 Insulation workers 7125 Glaziers 7126 Plumbers and pipe fitters 7127 Air conditioning and refrigeration mechanics 7130 Painters, building structure cleaners and related trades workers 7131 Painters and related workers 7132 Spray painters and varnishers 7133 Building structure cleaners 7200 Metal, machinery and related trades workers 7210 Sheet and structural metal workers, moulders and welders, and related workers 7211 Metal moulders and coremakers 7212 Welders and flamecutters 7213 Sheet-metal workers 7214 Structural-metal preparers and erectors 7215 Riggers and cable splicers 7220 Blacksmiths, toolmakers and related trades workers 7221 Blacksmiths, hammersmiths and forging press workers 7222 Toolmakers and related workers 7223 Metal working machine tool setters and operators 7224 Metal polishers, wheel grinders and tool sharpeners 7230 Machinery mechanics and repairers 7231 Motor vehicle mechanics and repairers 7232 Aircraft engine mechanics and repairers 7233 Agricultural and industrial machinery mechanics and repairers 7234 Bicycle and related repairers 7300 Handicraft and printing workers 7310 Handicraft workers 7311 Precision-instrument makers and repairers 7312 Musical instrument makers and tuners 7313 Jewellery and precious-metal workers 7314 Potters and related workers 7315 Glass makers, cutters, grinders and finishers 7316 Sign writers, decorative painters, engravers and etchers 7317 Handicraft workers in wood, basketry and related materials 7318 Handicraft workers in textile, leather and related materials 7319 Handicraft workers not elsewhere classified 7320 Printing trades workers 7321 Pre-press technicians 7322 Printers 7323 Print finishing and binding workers 7400 Electrical and electronic trades workers 7410 Electrical equipment installers and repairers 7411 Building and related electricians 7412 Electrical mechanics and fitters 7413 Electrical line installers and repairers 7420 Electronics and telecommunications installers and repairers 7421 Electronics mechanics and servicers 7422 Information and communications technology installers and servicers 7500 Food processing, wood working, garment and other craft and related trades workers 7510 Food processing and related trades workers 7511 Butchers, fishmongers and related food preparers 7512 Bakers, pastry-cooks and confectionery makers 7513 Dairy-products makers 7514 Fruit, vegetable and related preservers 7515 Food and beverage tasters and graders 7516 Tobacco preparers and tobacco products makers 7520 Wood treaters, cabinet-makers and related trades workers 7521 Wood treaters 7522 Cabinet-makers and related workers 7523 Woodworking-machine tool setters and operators 7530 Garment and related trades workers 7531 Tailors, dressmakers, furriers and hatters 7532 Garment and related pattern-makers and cutters 7533 Sewing, embroidery and related workers 7534 Upholsterers and related workers 7535 Pelt dressers, tanners and fellmongers 7536 Shoemakers and related workers 7540 Other craft and related workers 7541 Underwater divers 7542 Shotfirers and blasters 7543 Product graders and testers (excluding foods and beverages) 7544 Fumigators and other pest and weed controllers 7549 Craft and related workers not elsewhere classified 8000 Plant and machine operators, and assemblers 8100 Stationary plant and machine operators 8110 Mining and mineral processing plant operators 8111 Miners and quarriers 8112 Mineral and stone processing plant operators 8113 Well drillers and borers and related workers 8114 Cement, stone and other mineral products machine operators 8120 Metal processing and finishing plant operators 8121 Metal processing plant operators 8122 Metal finishing, plating and coating machine operators 8130 Chemical and photographic products plant and machine operators 8131 Chemical products plant and machine operators 8132 Photographic products machine operators 8140 Rubber, plastic and paper products machine operators 8141 Rubber products machine operators 8142 Plastic products machine operators 8143 Paper products machine operators 8150 Textile, fur and leather products machine operators 8151 Fibre preparing, spinning and winding machine operators 8152 Weaving and knitting machine operators 8153 Sewing machine operators 8154 Bleaching, dyeing and fabric cleaning machine operators 8155 Fur and leather preparing machine operators 8156 Shoemaking and related machine operators 8157 Laundry machine operators 8159 Textile, fur and leather products machine operators not elsewhere classified 8160 Food and related products machine operators 8170 Wood processing and papermaking plant operators 8171 Pulp and papermaking plant operators 8172 Wood processing plant operators 8180 Other stationary plant and machine operators 8181 Glass and ceramics plant operators 8182 Steam engine and boiler operators 8183 Packing, bottling and labelling machine operators 8189 Stationary plant and machine operators not elsewhere classified 8200 Assemblers 8210 Assemblers 8211 Mechanical machinery assemblers 8212 Electrical and electronic equipment assemblers 8219 Assemblers not elsewhere classified 8300 Drivers and mobile plant operators 8310 Locomotive engine drivers and related workers 8311 Locomotive engine drivers 8312 Railway brake, signal and switch operators 8320 Car, van and motorcycle drivers 8321 Motorcycle drivers 8322 Car, taxi and van drivers 8330 Heavy truck and bus drivers 8331 Bus and tram drivers 8332 Heavy truck and lorry drivers 8340 Mobile plant operators 8341 Mobile farm and forestry plant operators 8342 Earthmoving and related plant operators 8343 Crane, hoist and related plant operators 8344 Lifting truck operators 8350 Ships' deck crews and related workers 9000 Elementary occupations 9100 Cleaners and helpers 9110 Domestic, hotel and office cleaners and helpers 9111 Domestic cleaners and helpers 9112 Cleaners and helpers in offices, hotels and other establishments 9120 Vehicle, window, laundry and other hand cleaning workers 9121 Hand launderers and pressers 9122 Vehicle cleaners 9123 Window cleaners 9129 Other cleaning workers 9200 Agricultural, forestry and fishery labourers 9210 Agricultural, forestry and fishery labourers 9211 Crop farm labourers 9212 Livestock farm labourers 9213 Mixed crop and livestock farm labourers 9214 Garden and horticultural labourers 9215 Forestry labourers 9216 Fishery and aquaculture labourers 9300 Labourers in mining, construction, manufacturing and transport 9310 Mining and construction labourers 9311 Mining and quarrying labourers 9312 Civil engineering labourers 9313 Building construction labourers 9320 Manufacturing labourers 9321 Hand packers 9329 Manufacturing labourers not elsewhere classified 9330 Transport and storage labourers 9331 Hand and pedal vehicle drivers 9332 Drivers of animal-drawn vehicles and machinery 9333 Freight handlers 9334 Shelf fillers 9400 Food preparation assistants 9410 Food preparation assistants 9411 Fast food preparers 9412 Kitchen helpers 9500 Street and related sales and service workers 9510 Street and related service workers 9520 Street vendors (excluding food) 9600 Refuse workers and other elementary workers 9610 Refuse workers 9611 Garbage and recycling collectors 9612 Refuse sorters 9613 Sweepers and related labourers 9620 Other elementary workers 9621 Messengers, package deliverers and luggage porters 9622 Odd job persons 9623 Meter readers and vending-machine collectors 9624 Water and firewood collectors 9629 Elementary workers not elsewhere classified 9997 Uncodeable 9998 Don't know, inadequately described 9999 No answer	5747
SPISCO08	Label: R's Mothers occupation, 2010 census & 2008 ISCO code Format: F8.0 Measure: Scale Display Width: 10 Missing Values: 0; 9998; 9999 Value Label 0 IAP 110 Commissioned armed forces officers 210 Non-commissioned armed forces officers 310 Armed forces occupations, other ranks 1000 Managers 1100 Chief executives, senior officials and legislators 1110 Legislators and senior officials 1111 Legislators 1112 Senior government officials 1113 Traditional chiefs and heads of village 1114 Senior officials of special-interest organizations 1120 Managing directors and chief executives 1200 Administrative and commercial managers 1210 Business services and administration managers 1211 Finance managers 1212 Human resource managers 1213 Policy and planning managers 1219 Business services and administration managers not elsewhere classified 1220 Sales, marketing and development managers 1221 Sales and marketing managers 1222 Advertising and public relations managers 1223 Research and development managers 1300 Production and specialised services managers 1310 Production managers in agriculture, forestry and fisheries 1311 Agricultural and forestry production managers 1312 Aquaculture and fisheries production managers 1320 Manufacturing, mining, construction, and distribution managers 1321 Manufacturing managers 1322 Mining managers 1323 Construction managers 1324 Supply, distribution and related managers 1330 Information and communications technology service managers 1340 Professional services managers 1341 Child care services managers 1342 Health services managers 1343 Aged care services managers 1344 Social welfare managers 1345 Education managers 1346 Financial and insurance services branch managers 1349 Professional services managers not elsewhere classified 1400 Hospitality, retail and other services managers 1410 Hotel and restaurant managers 1411 Hotel managers 1412 Restaurant managers 1420 Retail and wholesale trade managers 1430 Other services managers 1431 Sports, recreation and cultural centre managers 1439 Services managers not elsewhere classified 2000 Professionals 2100 Science and engineering professionals 2110 Physical and earth science professionals 2111 Physicists and astronomers 2112 Meteorologists 2113 Chemists 2114 Geologists and geophysicists 2120 Mathematicians, actuaries and statisticians 2130 Life science professionals 2131 Biologists, botanists, zoologists and related professionals 2132 Farming, forestry and fisheries advisers 2133 Environmental protection professionals 2140 Engineering professionals (excluding electrotechnology) 2141 Industrial and production engineers 2142 Civil engineers 2143 Environmental engineers 2144 Mechanical engineers 2145 Chemical engineers 2146 Mining engineers, metallurgists and related professionals 2149 Engineering professionals not elsewhere classified 2150 Electrotechnology engineers 2151 Electrical engineers 2152 Electronics engineers 2153 Telecommunications engineers 2160 Architects, planners, surveyors and designers 2161 Building architects 2162 Landscape architects 2163 Product and garment designers 2164 Town and traffic planners 2165 Cartographers and surveyors 2166 Graphic and multimedia designers 2200 Health professionals 2210 Medical doctors 2211 Generalist medical practitioners 2212 Specialist medical practitioners 2220 Nursing and midwifery professionals 2221 Nursing professionals 2222 Midwifery professionals 2230 Traditional and complementary medicine professionals 2240 Paramedical practitioners 2250 Veterinarians 2260 Other health professionals 2261 Dentists 2262 Pharmacists 2263 Environmental and occupational health and hygiene professionals 2264 Physiotherapists 2265 Dieticians and nutritionists 2266 Audiologists and speech therapists 2267 Optometrists and ophthalmic opticians 2269 Health professionals not elsewhere classified 2300 Teaching professionals 2310 University and higher education teachers 2320 Vocational education teachers 2330 Secondary education teachers 2340 Primary school and early childhood teachers 2341 Primary school teachers 2342 Early childhood educators 2350 Other teaching professionals 2351 Education methods specialists 2352 Special needs teachers 2353 Other language teachers 2354 Other music teachers 2355 Other arts teachers 2356 Information technology trainers 2359 Teaching professionals not elsewhere classified 2400 Business and administration professionals 2410 Finance professionals 2411 Accountants 2412 Financial and investment advisers 2413 Financial analysts 2420 Administration professionals 2421 Management and organization analysts 2422 Policy administration professionals 2423 Personnel and careers professionals 2424 Training and staff development professionals 2430 Sales, marketing and public relations professionals 2431 Advertising and marketing professionals 2432 Public relations professionals 2433 Technical and medical sales professionals (excluding ICT) 2434 Information and communications technology sales professionals 2500 Information and communications technology professionals 2510 Software and applications developers and analysts 2511 Systems analysts 2512 Software developers 2513 Web and multimedia developers 2514 Applications programmers 2519 Software and applications developers and analysts not elsewhere classified 2520 Database and network professionals 2521 Database designers and administrators 2522 Systems administrators 2523 Computer network professionals 2529 Database and network professionals not elsewhere classified 2600 Legal, social and cultural professionals 2610 Legal professionals 2611 Lawyers 2612 Judges 2619 Legal professionals not elsewhere classified 2620 Librarians, archivists and curators 2621 Archivists and curators 2622 Librarians and related information professionals 2630 Social and religious professionals 2631 Economists 2632 Sociologists, anthropologists and related professionals 2633 Philosophers, historians and political scientists 2634 Psychologists 2635 Social work and counselling professionals 2636 Religious professionals 2640 Authors, journalists and linguists 2641 Authors and related writers 2642 Journalists 2643 Translators, interpreters and other linguists 2650 Creative and performing artists 2651 Visual artists 2652 Musicians, singers and composers 2653 Dancers and choreographers 2654 Film, stage and related directors and producers 2655 Actors 2656 Announcers on radio, television and other media 2659 Creative and performing artists not elsewhere classified 3000 Technicians and associate professionals 3100 Science and engineering associate professionals 3110 Physical and engineering science technicians 3111 Chemical and physical science technicians 3112 Civil engineering technicians 3113 Electrical engineering technicians 3114 Electronics engineering technicians 3115 Mechanical engineering technicians 3116 Chemical engineering technicians 3117 Mining and metallurgical technicians 3118 Draughtspersons 3119 Physical and engineering science technicians not elsewhere classified 3120 Mining, manufacturing and construction supervisors 3121 Mining supervisors 3122 Manufacturing supervisors 3123 Construction supervisors 3130 Process control technicians 3131 Power production plant operators 3132 Incinerator and water treatment plant operators 3133 Chemical processing plant controllers 3134 Petroleum and natural gas refining plant operators 3135 Metal production process controllers 3139 Process control technicians not elsewhere classified 3140 Life science technicians and related associate professionals 3141 Life science technicians (excluding medical) 3142 Agricultural technicians 3143 Forestry technicians 3150 Ship and aircraft controllers and technicians 3151 Ships' engineers 3152 Ships' deck officers and pilots 3153 Aircraft pilots and related associate professionals 3154 Air traffic controllers 3155 Air traffic safety electronics technicians 3200 Health associate professionals 3210 Medical and pharmaceutical technicians 3211 Medical imaging and therapeutic equipment technicians 3212 Medical and pathology laboratory technicians 3213 Pharmaceutical technicians and assistants 3214 Medical and dental prosthetic technicians 3220 Nursing and midwifery associate professionals 3221 Nursing associate professionals 3222 Midwifery associate professionals 3230 Traditional and complementary medicine associate professionals 3240 Veterinary technicians and assistants 3250 Other health associate professionals 3251 Dental assistants and therapists 3252 Medical records and health information technicians 3253 Community health workers 3254 Dispensing opticians 3255 Physiotherapy technicians and assistants 3256 Medical assistants 3257 Environmental and occupational health inspectors and associates 3258 Ambulance workers 3259 Health associate professionals not elsewhere classified 3300 Business and administration associate professionals 3310 Financial and mathematical associate professionals 3311 Securities and finance dealers and brokers 3312 Credit and loans officers 3313 Accounting associate professionals 3314 Statistical, mathematical and related associate professionals 3315 Valuers and loss assessors 3320 Sales and purchasing agents and brokers 3321 Insurance representatives 3322 Commercial sales representatives 3323 Buyers 3324 Trade brokers 3330 Business services agents 3331 Clearing and forwarding agents 3332 Conference and event planners 3333 Employment agents and contractors 3334 Real estate agents and property managers 3339 Business services agents not elsewhere classified 3340 Administrative and specialised secretaries 3341 Office supervisors 3342 Legal secretaries 3343 Administrative and executive secretaries 3344 Medical secretaries 3350 Regulatory government associate professionals 3351 Customs and border inspectors 3352 Government tax and excise officials 3353 Government social benefits officials 3354 Government licensing officials 3355 Police inspectors and detectives 3359 Regulatory government associate professionals not elsewhere classified 3400 Legal, social, cultural and related associate professionals 3410 Legal, social and religious associate professionals 3411 Police inspectors and detectives 3412 Social work associate professionals 3413 Religious associate professionals 3420 Sports and fitness workers 3421 Athletes and sports players 3422 Sports coaches, instructors and officials 3423 Fitness and recreation instructors and program leaders 3430 Artistic, cultural and culinary associate professionals 3431 Photographers 3432 Interior designers and decorators 3433 Gallery, museum and library technicians 3434 Chefs 3435 Other artistic and cultural associate professionals 3500 Information and communications technicians 3510 Information and communications technology operations and user support technicians 3511 Information and communications technology operations technicians 3512 Information and communications technology user support technicians 3513 Computer network and systems technicians 3514 Web technicians 3520 Telecommunications and broadcasting technicians 3521 Broadcasting and audio-visual technicians 3522 Telecommunications engineering technicians 4000 Clerical support workers 4100 General and keyboard clerks 4110 General office clerks 4120 Secretaries (general) 4130 Keyboard operators 4131 Typists and word processing operators 4132 Data entry clerks 4200 Customer services clerks 4210 Tellers, money collectors and related clerks 4211 Bank tellers and related clerks 4212 Bookmakers, croupiers and related gaming workers 4213 Pawnbrokers and money-lenders 4214 Debt-collectors and related workers 4220 Client information workers 4221 Travel consultants and clerks 4222 Contact centre information clerks 4223 Telephone switchboard operators 4224 Hotel receptionists 4225 Enquiry clerks 4226 Receptionists (general) 4227 Survey and market research interviewers 4229 Client information workers not elsewhere classified 4300 Numerical and material recording clerks 4310 Numerical clerks 4311 Accounting and bookkeeping clerks 4312 Statistical, finance and insurance clerks 4313 Payroll clerks 4320 Material-recording and transport clerks 4321 Stock clerks 4322 Production clerks 4323 Transport clerks 4400 Other clerical support workers 4410 Other clerical support workers 4411 Library clerks 4412 Mail carriers and sorting clerks 4413 Coding, proof-reading and related clerks 4414 Scribes and related workers 4415 Filing and copying clerks 4416 Personnel clerks 4419 Clerical support workers not elsewhere classified 5000 Service and sales workers 5100 Personal service workers 5110 Travel attendants, conductors and guides 5111 Travel attendants and travel stewards 5112 Transport conductors 5113 Travel guides 5120 Cooks 5130 Waiters and bartenders 5131 Waiters 5132 Bartenders 5140 Hairdressers, beauticians and related workers 5141 Hairdressers 5142 Beauticians and related workers 5150 Building and housekeeping supervisors 5151 Cleaning and housekeeping supervisors in offices, hotels and other establishments 5152 Domestic housekeepers 5153 Building caretakers 5160 Other personal services workers 5161 Astrologers, fortune-tellers and related workers 5162 Companions and valets 5163 Undertakers and embalmers 5164 Pet groomers and animal care workers 5165 Driving instructors 5169 Personal services workers not elsewhere classified 5200 Sales workers 5210 Street and market salespersons 5211 Stall and market salespersons 5212 Street food salespersons 5220 Shop salespersons 5221 Shop keepers 5222 Shop supervisors 5223 Shop sales assistants 5230 Cashiers and ticket clerks 5240 Other sales workers 5241 Fashion and other models 5242 Sales demonstrators 5243 Door to door salespersons 5244 Contact centre salespersons 5245 Service station attendants 5246 Food service counter attendants 5249 Sales workers not elsewhere classified 5300 Personal care workers 5310 Child care workers and teachers' aides 5311 Child care workers 5312 Teachers' aides 5320 Personal care workers in health services 5321 Health care assistants 5322 Home-based personal care workers 5329 Personal care workers in health services not elsewhere classified 5400 Protective services workers 5410 Protective services workers 5411 Fire-fighters 5412 Police officers 5413 Prison guards 5414 Security guards 5419 Protective services workers not elsewhere classified 6000 Skilled agricultural, forestry and fishery workers 6100 Market-oriented skilled agricultural workers 6110 Market gardeners and crop growers 6111 Field crop and vegetable growers 6112 Tree and shrub crop growers 6113 Gardeners, horticultural and nursery growers 6114 Mixed crop growers 6120 Animal producers 6121 Livestock and dairy producers 6122 Poultry producers 6123 Apiarists and sericulturists 6129 Animal producers not elsewhere classified 6130 Mixed crop and animal producers 6200 Market-oriented skilled forestry, fishery and hunting workers 6210 Forestry and related workers 6220 Fishery workers, hunters and trappers 6221 Aquaculture workers 6222 Inland and coastal waters fishery workers 6223 Deep-sea fishery workers 6224 Hunters and trappers 6300 Subsistence farmers, fishers, hunters and gatherers 6310 Subsistence crop farmers 6320 Subsistence livestock farmers 6330 Subsistence mixed crop and livestock farmers 6340 Subsistence fishers, hunters, trappers and gatherers 7000 Craft and related trades workers 7100 Building and related trades workers, excluding electricians 7110 Building frame and related trades workers 7111 House builders 7112 Bricklayers and related workers 7113 Stonemasons, stone cutters, splitters and carvers 7114 Concrete placers, concrete finishers and related workers 7115 Carpenters and joiners 7119 Building frame and related trades workers not elsewhere classified 7120 Building finishers and related trades workers 7121 Roofers 7122 Floor layers and tile setters 7123 Plasterers 7124 Insulation workers 7125 Glaziers 7126 Plumbers and pipe fitters 7127 Air conditioning and refrigeration mechanics 7130 Painters, building structure cleaners and related trades workers 7131 Painters and related workers 7132 Spray painters and varnishers 7133 Building structure cleaners 7200 Metal, machinery and related trades workers 7210 Sheet and structural metal workers, moulders and welders, and related workers 7211 Metal moulders and coremakers 7212 Welders and flamecutters 7213 Sheet-metal workers 7214 Structural-metal preparers and erectors 7215 Riggers and cable splicers 7220 Blacksmiths, toolmakers and related trades workers 7221 Blacksmiths, hammersmiths and forging press workers 7222 Toolmakers and related workers 7223 Metal working machine tool setters and operators 7224 Metal polishers, wheel grinders and tool sharpeners 7230 Machinery mechanics and repairers 7231 Motor vehicle mechanics and repairers 7232 Aircraft engine mechanics and repairers 7233 Agricultural and industrial machinery mechanics and repairers 7234 Bicycle and related repairers 7300 Handicraft and printing workers 7310 Handicraft workers 7311 Precision-instrument makers and repairers 7312 Musical instrument makers and tuners 7313 Jewellery and precious-metal workers 7314 Potters and related workers 7315 Glass makers, cutters, grinders and finishers 7316 Sign writers, decorative painters, engravers and etchers 7317 Handicraft workers in wood, basketry and related materials 7318 Handicraft workers in textile, leather and related materials 7319 Handicraft workers not elsewhere classified 7320 Printing trades workers 7321 Pre-press technicians 7322 Printers 7323 Print finishing and binding workers 7400 Electrical and electronic trades workers 7410 Electrical equipment installers and repairers 7411 Building and related electricians 7412 Electrical mechanics and fitters 7413 Electrical line installers and repairers 7420 Electronics and telecommunications installers and repairers 7421 Electronics mechanics and servicers 7422 Information and communications technology installers and servicers 7500 Food processing, wood working, garment and other craft and related trades workers 7510 Food processing and related trades workers 7511 Butchers, fishmongers and related food preparers 7512 Bakers, pastry-cooks and confectionery makers 7513 Dairy-products makers 7514 Fruit, vegetable and related preservers 7515 Food and beverage tasters and graders 7516 Tobacco preparers and tobacco products makers 7520 Wood treaters, cabinet-makers and related trades workers 7521 Wood treaters 7522 Cabinet-makers and related workers 7523 Woodworking-machine tool setters and operators 7530 Garment and related trades workers 7531 Tailors, dressmakers, furriers and hatters 7532 Garment and related pattern-makers and cutters 7533 Sewing, embroidery and related workers 7534 Upholsterers and related workers 7535 Pelt dressers, tanners and fellmongers 7536 Shoemakers and related workers 7540 Other craft and related workers 7541 Underwater divers 7542 Shotfirers and blasters 7543 Product graders and testers (excluding foods and beverages) 7544 Fumigators and other pest and weed controllers 7549 Craft and related workers not elsewhere classified 8000 Plant and machine operators, and assemblers 8100 Stationary plant and machine operators 8110 Mining and mineral processing plant operators 8111 Miners and quarriers 8112 Mineral and stone processing plant operators 8113 Well drillers and borers and related workers 8114 Cement, stone and other mineral products machine operators 8120 Metal processing and finishing plant operators 8121 Metal processing plant operators 8122 Metal finishing, plating and coating machine operators 8130 Chemical and photographic products plant and machine operators 8131 Chemical products plant and machine operators 8132 Photographic products machine operators 8140 Rubber, plastic and paper products machine operators 8141 Rubber products machine operators 8142 Plastic products machine operators 8143 Paper products machine operators 8150 Textile, fur and leather products machine operators 8151 Fibre preparing, spinning and winding machine operators 8152 Weaving and knitting machine operators 8153 Sewing machine operators 8154 Bleaching, dyeing and fabric cleaning machine operators 8155 Fur and leather preparing machine operators 8156 Shoemaking and related machine operators 8157 Laundry machine operators 8159 Textile, fur and leather products machine operators not elsewhere classified 8160 Food and related products machine operators 8170 Wood processing and papermaking plant operators 8171 Pulp and papermaking plant operators 8172 Wood processing plant operators 8180 Other stationary plant and machine operators 8181 Glass and ceramics plant operators 8182 Steam engine and boiler operators 8183 Packing, bottling and labelling machine operators 8189 Stationary plant and machine operators not elsewhere classified 8200 Assemblers 8210 Assemblers 8211 Mechanical machinery assemblers 8212 Electrical and electronic equipment assemblers 8219 Assemblers not elsewhere classified 8300 Drivers and mobile plant operators 8310 Locomotive engine drivers and related workers 8311 Locomotive engine drivers 8312 Railway brake, signal and switch operators 8320 Car, van and motorcycle drivers 8321 Motorcycle drivers 8322 Car, taxi and van drivers 8330 Heavy truck and bus drivers 8331 Bus and tram drivers 8332 Heavy truck and lorry drivers 8340 Mobile plant operators 8341 Mobile farm and forestry plant operators 8342 Earthmoving and related plant operators 8343 Crane, hoist and related plant operators 8344 Lifting truck operators 8350 Ships' deck crews and related workers 9000 Elementary occupations 9100 Cleaners and helpers 9110 Domestic, hotel and office cleaners and helpers 9111 Domestic cleaners and helpers 9112 Cleaners and helpers in offices, hotels and other establishments 9120 Vehicle, window, laundry and other hand cleaning workers 9121 Hand launderers and pressers 9122 Vehicle cleaners 9123 Window cleaners 9129 Other cleaning workers 9200 Agricultural, forestry and fishery labourers 9210 Agricultural, forestry and fishery labourers 9211 Crop farm labourers 9212 Livestock farm labourers 9213 Mixed crop and livestock farm labourers 9214 Garden and horticultural labourers 9215 Forestry labourers 9216 Fishery and aquaculture labourers 9300 Labourers in mining, construction, manufacturing and transport 9310 Mining and construction labourers 9311 Mining and quarrying labourers 9312 Civil engineering labourers 9313 Building construction labourers 9320 Manufacturing labourers 9321 Hand packers 9329 Manufacturing labourers not elsewhere classified 9330 Transport and storage labourers 9331 Hand and pedal vehicle drivers 9332 Drivers of animal-drawn vehicles and machinery 9333 Freight handlers 9334 Shelf fillers 9400 Food preparation assistants 9410 Food preparation assistants 9411 Fast food preparers 9412 Kitchen helpers 9500 Street and related sales and service workers 9510 Street and related service workers 9520 Street vendors (excluding food) 9600 Refuse workers and other elementary workers 9610 Refuse workers 9611 Garbage and recycling collectors 9612 Refuse sorters 9613 Sweepers and related labourers 9620 Other elementary workers 9621 Messengers, package deliverers and luggage porters 9622 Odd job persons 9623 Meter readers and vending-machine collectors 9624 Water and firewood collectors 9629 Elementary workers not elsewhere classified 9997 Uncodeable 9998 Don't know, inadequately described 9999 No answer	5748
COISCO08	Label: Partner's occupation, 2010 census & 2008 ISCO code Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 9998; 9999 Value Label 0 IAP 110 Commissioned armed forces officers 210 Non-commissioned armed forces officers 310 Armed forces occupations, other ranks 1000 Managers 1100 Chief executives, senior officials and legislators 1110 Legislators and senior officials 1111 Legislators 1112 Senior government officials 1113 Traditional chiefs and heads of village 1114 Senior officials of special-interest organizations 1120 Managing directors and chief executives 1200 Administrative and commercial managers 1210 Business services and administration managers 1211 Finance managers 1212 Human resource managers 1213 Policy and planning managers 1219 Business services and administration managers not elsewhere classified 1220 Sales, marketing and development managers 1221 Sales and marketing managers 1222 Advertising and public relations managers 1223 Research and development managers 1300 Production and specialised services managers 1310 Production managers in agriculture, forestry and fisheries 1311 Agricultural and forestry production managers 1312 Aquaculture and fisheries production managers 1320 Manufacturing, mining, construction, and distribution managers 1321 Manufacturing managers 1322 Mining managers 1323 Construction managers 1324 Supply, distribution and related managers 1330 Information and communications technology service managers 1340 Professional services managers 1341 Child care services managers 1342 Health services managers 1343 Aged care services managers 1344 Social welfare managers 1345 Education managers 1346 Financial and insurance services branch managers 1349 Professional services managers not elsewhere classified 1400 Hospitality, retail and other services managers 1410 Hotel and restaurant managers 1411 Hotel managers 1412 Restaurant managers 1420 Retail and wholesale trade managers 1430 Other services managers 1431 Sports, recreation and cultural centre managers 1439 Services managers not elsewhere classified 2000 Professionals 2100 Science and engineering professionals 2110 Physical and earth science professionals 2111 Physicists and astronomers 2112 Meteorologists 2113 Chemists 2114 Geologists and geophysicists 2120 Mathematicians, actuaries and statisticians 2130 Life science professionals 2131 Biologists, botanists, zoologists and related professionals 2132 Farming, forestry and fisheries advisers 2133 Environmental protection professionals 2140 Engineering professionals (excluding electrotechnology) 2141 Industrial and production engineers 2142 Civil engineers 2143 Environmental engineers 2144 Mechanical engineers 2145 Chemical engineers 2146 Mining engineers, metallurgists and related professionals 2149 Engineering professionals not elsewhere classified 2150 Electrotechnology engineers 2151 Electrical engineers 2152 Electronics engineers 2153 Telecommunications engineers 2160 Architects, planners, surveyors and designers 2161 Building architects 2162 Landscape architects 2163 Product and garment designers 2164 Town and traffic planners 2165 Cartographers and surveyors 2166 Graphic and multimedia designers 2200 Health professionals 2210 Medical doctors 2211 Generalist medical practitioners 2212 Specialist medical practitioners 2220 Nursing and midwifery professionals 2221 Nursing professionals 2222 Midwifery professionals 2230 Traditional and complementary medicine professionals 2240 Paramedical practitioners 2250 Veterinarians 2260 Other health professionals 2261 Dentists 2262 Pharmacists 2263 Environmental and occupational health and hygiene professionals 2264 Physiotherapists 2265 Dieticians and nutritionists 2266 Audiologists and speech therapists 2267 Optometrists and ophthalmic opticians 2269 Health professionals not elsewhere classified 2300 Teaching professionals 2310 University and higher education teachers 2320 Vocational education teachers 2330 Secondary education teachers 2340 Primary school and early childhood teachers 2341 Primary school teachers 2342 Early childhood educators 2350 Other teaching professionals 2351 Education methods specialists 2352 Special needs teachers 2353 Other language teachers 2354 Other music teachers 2355 Other arts teachers 2356 Information technology trainers 2359 Teaching professionals not elsewhere classified 2400 Business and administration professionals 2410 Finance professionals 2411 Accountants 2412 Financial and investment advisers 2413 Financial analysts 2420 Administration professionals 2421 Management and organization analysts 2422 Policy administration professionals 2423 Personnel and careers professionals 2424 Training and staff development professionals 2430 Sales, marketing and public relations professionals 2431 Advertising and marketing professionals 2432 Public relations professionals 2433 Technical and medical sales professionals (excluding ICT) 2434 Information and communications technology sales professionals 2500 Information and communications technology professionals 2510 Software and applications developers and analysts 2511 Systems analysts 2512 Software developers 2513 Web and multimedia developers 2514 Applications programmers 2519 Software and applications developers and analysts not elsewhere classified 2520 Database and network professionals 2521 Database designers and administrators 2522 Systems administrators 2523 Computer network professionals 2529 Database and network professionals not elsewhere classified 2600 Legal, social and cultural professionals 2610 Legal professionals 2611 Lawyers 2612 Judges 2619 Legal professionals not elsewhere classified 2620 Librarians, archivists and curators 2621 Archivists and curators 2622 Librarians and related information professionals 2630 Social and religious professionals 2631 Economists 2632 Sociologists, anthropologists and related professionals 2633 Philosophers, historians and political scientists 2634 Psychologists 2635 Social work and counselling professionals 2636 Religious professionals 2640 Authors, journalists and linguists 2641 Authors and related writers 2642 Journalists 2643 Translators, interpreters and other linguists 2650 Creative and performing artists 2651 Visual artists 2652 Musicians, singers and composers 2653 Dancers and choreographers 2654 Film, stage and related directors and producers 2655 Actors 2656 Announcers on radio, television and other media 2659 Creative and performing artists not elsewhere classified 3000 Technicians and associate professionals 3100 Science and engineering associate professionals 3110 Physical and engineering science technicians 3111 Chemical and physical science technicians 3112 Civil engineering technicians 3113 Electrical engineering technicians 3114 Electronics engineering technicians 3115 Mechanical engineering technicians 3116 Chemical engineering technicians 3117 Mining and metallurgical technicians 3118 Draughtspersons 3119 Physical and engineering science technicians not elsewhere classified 3120 Mining, manufacturing and construction supervisors 3121 Mining supervisors 3122 Manufacturing supervisors 3123 Construction supervisors 3130 Process control technicians 3131 Power production plant operators 3132 Incinerator and water treatment plant operators 3133 Chemical processing plant controllers 3134 Petroleum and natural gas refining plant operators 3135 Metal production process controllers 3139 Process control technicians not elsewhere classified 3140 Life science technicians and related associate professionals 3141 Life science technicians (excluding medical) 3142 Agricultural technicians 3143 Forestry technicians 3150 Ship and aircraft controllers and technicians 3151 Ships' engineers 3152 Ships' deck officers and pilots 3153 Aircraft pilots and related associate professionals 3154 Air traffic controllers 3155 Air traffic safety electronics technicians 3200 Health associate professionals 3210 Medical and pharmaceutical technicians 3211 Medical imaging and therapeutic equipment technicians 3212 Medical and pathology laboratory technicians 3213 Pharmaceutical technicians and assistants 3214 Medical and dental prosthetic technicians 3220 Nursing and midwifery associate professionals 3221 Nursing associate professionals 3222 Midwifery associate professionals 3230 Traditional and complementary medicine associate professionals 3240 Veterinary technicians and assistants 3250 Other health associate professionals 3251 Dental assistants and therapists 3252 Medical records and health information technicians 3253 Community health workers 3254 Dispensing opticians 3255 Physiotherapy technicians and assistants 3256 Medical assistants 3257 Environmental and occupational health inspectors and associates 3258 Ambulance workers 3259 Health associate professionals not elsewhere classified 3300 Business and administration associate professionals 3310 Financial and mathematical associate professionals 3311 Securities and finance dealers and brokers 3312 Credit and loans officers 3313 Accounting associate professionals 3314 Statistical, mathematical and related associate professionals 3315 Valuers and loss assessors 3320 Sales and purchasing agents and brokers 3321 Insurance representatives 3322 Commercial sales representatives 3323 Buyers 3324 Trade brokers 3330 Business services agents 3331 Clearing and forwarding agents 3332 Conference and event planners 3333 Employment agents and contractors 3334 Real estate agents and property managers 3339 Business services agents not elsewhere classified 3340 Administrative and specialised secretaries 3341 Office supervisors 3342 Legal secretaries 3343 Administrative and executive secretaries 3344 Medical secretaries 3350 Regulatory government associate professionals 3351 Customs and border inspectors 3352 Government tax and excise officials 3353 Government social benefits officials 3354 Government licensing officials 3355 Police inspectors and detectives 3359 Regulatory government associate professionals not elsewhere classified 3400 Legal, social, cultural and related associate professionals 3410 Legal, social and religious associate professionals 3411 Police inspectors and detectives 3412 Social work associate professionals 3413 Religious associate professionals 3420 Sports and fitness workers 3421 Athletes and sports players 3422 Sports coaches, instructors and officials 3423 Fitness and recreation instructors and program leaders 3430 Artistic, cultural and culinary associate professionals 3431 Photographers 3432 Interior designers and decorators 3433 Gallery, museum and library technicians 3434 Chefs 3435 Other artistic and cultural associate professionals 3500 Information and communications technicians 3510 Information and communications technology operations and user support technicians 3511 Information and communications technology operations technicians 3512 Information and communications technology user support technicians 3513 Computer network and systems technicians 3514 Web technicians 3520 Telecommunications and broadcasting technicians 3521 Broadcasting and audio-visual technicians 3522 Telecommunications engineering technicians 4000 Clerical support workers 4100 General and keyboard clerks 4110 General office clerks 4120 Secretaries (general) 4130 Keyboard operators 4131 Typists and word processing operators 4132 Data entry clerks 4200 Customer services clerks 4210 Tellers, money collectors and related clerks 4211 Bank tellers and related clerks 4212 Bookmakers, croupiers and related gaming workers 4213 Pawnbrokers and money-lenders 4214 Debt-collectors and related workers 4220 Client information workers 4221 Travel consultants and clerks 4222 Contact centre information clerks 4223 Telephone switchboard operators 4224 Hotel receptionists 4225 Enquiry clerks 4226 Receptionists (general) 4227 Survey and market research interviewers 4229 Client information workers not elsewhere classified 4300 Numerical and material recording clerks 4310 Numerical clerks 4311 Accounting and bookkeeping clerks 4312 Statistical, finance and insurance clerks 4313 Payroll clerks 4320 Material-recording and transport clerks 4321 Stock clerks 4322 Production clerks 4323 Transport clerks 4400 Other clerical support workers 4410 Other clerical support workers 4411 Library clerks 4412 Mail carriers and sorting clerks 4413 Coding, proof-reading and related clerks 4414 Scribes and related workers 4415 Filing and copying clerks 4416 Personnel clerks 4419 Clerical support workers not elsewhere classified 5000 Service and sales workers 5100 Personal service workers 5110 Travel attendants, conductors and guides 5111 Travel attendants and travel stewards 5112 Transport conductors 5113 Travel guides 5120 Cooks 5130 Waiters and bartenders 5131 Waiters 5132 Bartenders 5140 Hairdressers, beauticians and related workers 5141 Hairdressers 5142 Beauticians and related workers 5150 Building and housekeeping supervisors 5151 Cleaning and housekeeping supervisors in offices, hotels and other establishments 5152 Domestic housekeepers 5153 Building caretakers 5160 Other personal services workers 5161 Astrologers, fortune-tellers and related workers 5162 Companions and valets 5163 Undertakers and embalmers 5164 Pet groomers and animal care workers 5165 Driving instructors 5169 Personal services workers not elsewhere classified 5200 Sales workers 5210 Street and market salespersons 5211 Stall and market salespersons 5212 Street food salespersons 5220 Shop salespersons 5221 Shop keepers 5222 Shop supervisors 5223 Shop sales assistants 5230 Cashiers and ticket clerks 5240 Other sales workers 5241 Fashion and other models 5242 Sales demonstrators 5243 Door to door salespersons 5244 Contact centre salespersons 5245 Service station attendants 5246 Food service counter attendants 5249 Sales workers not elsewhere classified 5300 Personal care workers 5310 Child care workers and teachers' aides 5311 Child care workers 5312 Teachers' aides 5320 Personal care workers in health services 5321 Health care assistants 5322 Home-based personal care workers 5329 Personal care workers in health services not elsewhere classified 5400 Protective services workers 5410 Protective services workers 5411 Fire-fighters 5412 Police officers 5413 Prison guards 5414 Security guards 5419 Protective services workers not elsewhere classified 6000 Skilled agricultural, forestry and fishery workers 6100 Market-oriented skilled agricultural workers 6110 Market gardeners and crop growers 6111 Field crop and vegetable growers 6112 Tree and shrub crop growers 6113 Gardeners, horticultural and nursery growers 6114 Mixed crop growers 6120 Animal producers 6121 Livestock and dairy producers 6122 Poultry producers 6123 Apiarists and sericulturists 6129 Animal producers not elsewhere classified 6130 Mixed crop and animal producers 6200 Market-oriented skilled forestry, fishery and hunting workers 6210 Forestry and related workers 6220 Fishery workers, hunters and trappers 6221 Aquaculture workers 6222 Inland and coastal waters fishery workers 6223 Deep-sea fishery workers 6224 Hunters and trappers 6300 Subsistence farmers, fishers, hunters and gatherers 6310 Subsistence crop farmers 6320 Subsistence livestock farmers 6330 Subsistence mixed crop and livestock farmers 6340 Subsistence fishers, hunters, trappers and gatherers 7000 Craft and related trades workers 7100 Building and related trades workers, excluding electricians 7110 Building frame and related trades workers 7111 House builders 7112 Bricklayers and related workers 7113 Stonemasons, stone cutters, splitters and carvers 7114 Concrete placers, concrete finishers and related workers 7115 Carpenters and joiners 7119 Building frame and related trades workers not elsewhere classified 7120 Building finishers and related trades workers 7121 Roofers 7122 Floor layers and tile setters 7123 Plasterers 7124 Insulation workers 7125 Glaziers 7126 Plumbers and pipe fitters 7127 Air conditioning and refrigeration mechanics 7130 Painters, building structure cleaners and related trades workers 7131 Painters and related workers 7132 Spray painters and varnishers 7133 Building structure cleaners 7200 Metal, machinery and related trades workers 7210 Sheet and structural metal workers, moulders and welders, and related workers 7211 Metal moulders and coremakers 7212 Welders and flamecutters 7213 Sheet-metal workers 7214 Structural-metal preparers and erectors 7215 Riggers and cable splicers 7220 Blacksmiths, toolmakers and related trades workers 7221 Blacksmiths, hammersmiths and forging press workers 7222 Toolmakers and related workers 7223 Metal working machine tool setters and operators 7224 Metal polishers, wheel grinders and tool sharpeners 7230 Machinery mechanics and repairers 7231 Motor vehicle mechanics and repairers 7232 Aircraft engine mechanics and repairers 7233 Agricultural and industrial machinery mechanics and repairers 7234 Bicycle and related repairers 7300 Handicraft and printing workers 7310 Handicraft workers 7311 Precision-instrument makers and repairers 7312 Musical instrument makers and tuners 7313 Jewellery and precious-metal workers 7314 Potters and related workers 7315 Glass makers, cutters, grinders and finishers 7316 Sign writers, decorative painters, engravers and etchers 7317 Handicraft workers in wood, basketry and related materials 7318 Handicraft workers in textile, leather and related materials 7319 Handicraft workers not elsewhere classified 7320 Printing trades workers 7321 Pre-press technicians 7322 Printers 7323 Print finishing and binding workers 7400 Electrical and electronic trades workers 7410 Electrical equipment installers and repairers 7411 Building and related electricians 7412 Electrical mechanics and fitters 7413 Electrical line installers and repairers 7420 Electronics and telecommunications installers and repairers 7421 Electronics mechanics and servicers 7422 Information and communications technology installers and servicers 7500 Food processing, wood working, garment and other craft and related trades workers 7510 Food processing and related trades workers 7511 Butchers, fishmongers and related food preparers 7512 Bakers, pastry-cooks and confectionery makers 7513 Dairy-products makers 7514 Fruit, vegetable and related preservers 7515 Food and beverage tasters and graders 7516 Tobacco preparers and tobacco products makers 7520 Wood treaters, cabinet-makers and related trades workers 7521 Wood treaters 7522 Cabinet-makers and related workers 7523 Woodworking-machine tool setters and operators 7530 Garment and related trades workers 7531 Tailors, dressmakers, furriers and hatters 7532 Garment and related pattern-makers and cutters 7533 Sewing, embroidery and related workers 7534 Upholsterers and related workers 7535 Pelt dressers, tanners and fellmongers 7536 Shoemakers and related workers 7540 Other craft and related workers 7541 Underwater divers 7542 Shotfirers and blasters 7543 Product graders and testers (excluding foods and beverages) 7544 Fumigators and other pest and weed controllers 7549 Craft and related workers not elsewhere classified 8000 Plant and machine operators, and assemblers 8100 Stationary plant and machine operators 8110 Mining and mineral processing plant operators 8111 Miners and quarriers 8112 Mineral and stone processing plant operators 8113 Well drillers and borers and related workers 8114 Cement, stone and other mineral products machine operators 8120 Metal processing and finishing plant operators 8121 Metal processing plant operators 8122 Metal finishing, plating and coating machine operators 8130 Chemical and photographic products plant and machine operators 8131 Chemical products plant and machine operators 8132 Photographic products machine operators 8140 Rubber, plastic and paper products machine operators 8141 Rubber products machine operators 8142 Plastic products machine operators 8143 Paper products machine operators 8150 Textile, fur and leather products machine operators 8151 Fibre preparing, spinning and winding machine operators 8152 Weaving and knitting machine operators 8153 Sewing machine operators 8154 Bleaching, dyeing and fabric cleaning machine operators 8155 Fur and leather preparing machine operators 8156 Shoemaking and related machine operators 8157 Laundry machine operators 8159 Textile, fur and leather products machine operators not elsewhere classified 8160 Food and related products machine operators 8170 Wood processing and papermaking plant operators 8171 Pulp and papermaking plant operators 8172 Wood processing plant operators 8180 Other stationary plant and machine operators 8181 Glass and ceramics plant operators 8182 Steam engine and boiler operators 8183 Packing, bottling and labelling machine operators 8189 Stationary plant and machine operators not elsewhere classified 8200 Assemblers 8210 Assemblers 8211 Mechanical machinery assemblers 8212 Electrical and electronic equipment assemblers 8219 Assemblers not elsewhere classified 8300 Drivers and mobile plant operators 8310 Locomotive engine drivers and related workers 8311 Locomotive engine drivers 8312 Railway brake, signal and switch operators 8320 Car, van and motorcycle drivers 8321 Motorcycle drivers 8322 Car, taxi and van drivers 8330 Heavy truck and bus drivers 8331 Bus and tram drivers 8332 Heavy truck and lorry drivers 8340 Mobile plant operators 8341 Mobile farm and forestry plant operators 8342 Earthmoving and related plant operators 8343 Crane, hoist and related plant operators 8344 Lifting truck operators 8350 Ships' deck crews and related workers 9000 Elementary occupations 9100 Cleaners and helpers 9110 Domestic, hotel and office cleaners and helpers 9111 Domestic cleaners and helpers 9112 Cleaners and helpers in offices, hotels and other establishments 9120 Vehicle, window, laundry and other hand cleaning workers 9121 Hand launderers and pressers 9122 Vehicle cleaners 9123 Window cleaners 9129 Other cleaning workers 9200 Agricultural, forestry and fishery labourers 9210 Agricultural, forestry and fishery labourers 9211 Crop farm labourers 9212 Livestock farm labourers 9213 Mixed crop and livestock farm labourers 9214 Garden and horticultural labourers 9215 Forestry labourers 9216 Fishery and aquaculture labourers 9300 Labourers in mining, construction, manufacturing and transport 9310 Mining and construction labourers 9311 Mining and quarrying labourers 9312 Civil engineering labourers 9313 Building construction labourers 9320 Manufacturing labourers 9321 Hand packers 9329 Manufacturing labourers not elsewhere classified 9330 Transport and storage labourers 9331 Hand and pedal vehicle drivers 9332 Drivers of animal-drawn vehicles and machinery 9333 Freight handlers 9334 Shelf fillers 9400 Food preparation assistants 9410 Food preparation assistants 9411 Fast food preparers 9412 Kitchen helpers 9500 Street and related sales and service workers 9510 Street and related service workers 9520 Street vendors (excluding food) 9600 Refuse workers and other elementary workers 9610 Refuse workers 9611 Garbage and recycling collectors 9612 Refuse sorters 9613 Sweepers and related labourers 9620 Other elementary workers 9621 Messengers, package deliverers and luggage porters 9622 Odd job persons 9623 Meter readers and vending-machine collectors 9624 Water and firewood collectors 9629 Elementary workers not elsewhere classified 9997 Uncodeable 9998 Don't know, inadequately described 9999 No answer	5749
SEI	Label: Respondent socioeconomic index (1980) Format: F4.1 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.0 IAP, DK, NA	5750
FIRSTSEI	Label: R's socioeconomic index of 1st occupation (1980) Format: F4.1 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.0 IAP, DK, NA	5751
PASEI	Label: R's Father's socioeconomic index (1980) Format: F4.1 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.0 IAP, DK, NA	5752
MASEI	Label: R's Mothers socioeconomic index (1980) Format: F4.1 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.0 IAP, DK, NA	5753
SPSEI	Label: R's spouse's socioeconomic index (1980) Format: F4.1 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.0 IAP, DK, NA	5754
SEI10	Label: R's socioeconomic index (2010) Format: F3.1 Measure: Scale Display Width: 10 Missing Values: -1 Value Label -1.0 IAP, DK, NA, uncodeable	5755
SEI10EDUC	Label: Percentage of some college educ in OCC10 based on ACS 2010 Format: F3.1 Measure: Scale Display Width: 11 Missing Values: -1 Value Label -1.0 IAP, DK, NA, uncodeable	5756
SEI10INC	Label: Percentage of $45k+ earners in OCC10 based on ACS 2010 Format: F3.1 Measure: Scale Display Width: 10 Missing Values: -1 Value Label -1.0 IAP, DK, NA, uncodeable	5757
PASEI10	Label: R's father's socioeconomic index (2010) Format: F3.1 Measure: Scale Display Width: 10 Missing Values: -1 Value Label -1.0 IAP, DK, NA, uncodeable	5758
PASEI10EDUC	Label: Percentage of some college educ in PAOCC10 based on ACS 2010 Format: F3.1 Measure: Scale Display Width: 13 Missing Values: -1 Value Label -1.0 IAP, DK, NA, uncodeable	5759
PASEI10INC	Label: Percentage of $45k+ earners in PAOCC10 based on ACS 2010 Format: F3.1 Measure: Scale Display Width: 12 Missing Values: -1 Value Label -1.0 IAP, DK, NA, uncodeable	5760
MASEI10	Label: R's mother's socioeconomic index (2010) Format: F3.1 Measure: Scale Display Width: 10 Missing Values: -1 Value Label -1.0 IAP, DK, NA, uncodeable	5761
MASEI10EDUC	Label: Percentage of some college educ in MAOCC10 based on ACS 2010 Format: F3.1 Measure: Scale Display Width: 13 Missing Values: -1 Value Label -1.0 IAP, DK, NA, uncodeable	5762
MASEI10INC	Label: Percentage of $45k+ earners in MAOCC10 based on ACS 2010 Format: F3.1 Measure: Scale Display Width: 12 Missing Values: -1 Value Label -1.0 IAP, DK, NA, uncodeable	5763
SPSEI10	Label: R's spouse's socioeconomic index (2010) Format: F3.1 Measure: Scale Display Width: 10 Missing Values: -1 Value Label -1.0 IAP, DK, NA, uncodeable	5764
SPSEI10EDUC	Label: Percentage of some college educ in SPOCC10 based on ACS 2010 Format: F3.1 Measure: Scale Display Width: 13 Missing Values: -1 Value Label -1.0 IAP, DK, NA, uncodeable	5765
SPSEI10INC	Label: Percentage of $45k+ earners in SPOCC10 based on ACS 2010 Format: F3.1 Measure: Scale Display Width: 12 Missing Values: -1 Value Label -1.0 IAP, DK, NA, uncodeable	5766
COSEI10	Label: Partner's socioeconomic index (2010) Format: F3.1 Measure: Scale Display Width: 8 Missing Values: -1 Value Label .0 IAP, DK, NA	5767
COSEI10EDUC	Label: Percentage of some college educ in COOCC10 based on ACS 2010 Format: F3.1 Measure: Scale Display Width: 8 Missing Values: -1 Value Label .0 IAP, DK, NA	5768
COSEI10INC	Label: Percentage of $45K+ earners in COOCC10 based on ACS 2010 Format: F3.1 Measure: Scale Display Width: 8 Missing Values: -1 Value Label .0 IAP, DK, NA	5769
COPRES10	Label: Partner's occupational prestige score (2010) Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 IAP,DK,NA,uncodeable	5770
COPRES105PLUS	Label: Partner's occupational prestige score using threshold method (2010) Format: F8.0 Measure: Scale Display Width: 17 Missing Values: 0 Value Label 0 IAP,DK,NA,uncodeable	5771
USWAR	Label: Expect U.S. in war within 10 years Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5772
USWARY	Label: Expect U.S. in world war in 10 years Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DK 9 NA	5773
USINTL	Label: Take active part in world affairs Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ACTIVE PART 2 STAY OUT 8 DK 9 NA	5774
USUN	Label: Remain in u.n. or pull out Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STAY IN 2 PULL OUT 8 DK 9 NA	5775
COMMUN	Label: Feelings about communism Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORST KIND 2 BAD, NOT WORST 3 OK FOR SOME 4 GOOD FORM 8 DK 9 NA	5776
COMMUN10	Label: Feelings about communism 10 yrs ago Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 WORST KIND 2 BAD, NOT WORST 3 OK FOR SOME 4 GOOD FORM 8 DK 9 NA	5777
RUSSIA	Label: Liking for Russia Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 DK,NA,IAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5	5778
JAPAN	Label: Liking for Japan Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 DK,NA,IAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5	5779
ENGLAND	Label: Liking for England Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 DK,NA,IAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5	5780
CANADA	Label: Liking for Canada Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 DK,NA,IAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5	5781
BRAZIL	Label: Liking for Brazil Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 DK,NA,IAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5	5782
CHINA	Label: Liking for China Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 DK,NA,IAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5	5783
ISRAEL	Label: Liking for Israel Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 DK,NA,IAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5	5784
EGYPT	Label: Liking for Egypt Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: -1 Value Label -1 DK,NA,IAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5	5785
WELFARE1	Label: Welfare makes people work less Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	5786
WELFARE2	Label: Helps people overcome difficult times Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	5787
WELFARE3	Label: Encourages out-of-wedlock children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	5788
WELFARE4	Label: Preserves marriages in difficult times Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	5789
WELFARE5	Label: Helps prevent hunger and starvation Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	5790
WELFARE6	Label: DISCOurages pregnant girls from marrying Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA	5791
WKCONTCT	Label: How often contacted about work when not working Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Never 2 Less than once a month 3 Once or twice a month 4 Once a week 5 Several times a week 6 Once a day 7 Two or more times a day 8 Don't know 9 No answer	5792
TALKSPVS	Label: Comfortable talking with supervisor about Personal Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not at all comfortable 2 A little 3 Somewhat 4 Very 5 Extremely 8 Don't know 9 No answer	5793
EFFCTSUP	Label: Supervisor effective solve work/Personal conflicts Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Not at all effective 2 A Little 3 Somewhat 4 Very 5 Extremely 8 Don't know 9 No answer	5794
COHORT	Label: Year of birth Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9999 Value Label 0 IAP 9999 NA	5795
MARCOHRT	Label: Year of first marriage Format: F4.0 Measure: Scale Display Width: 8 Missing Values: 0; 9999 Value Label 0 IAP 9999 NA	5796
BIRTHMO	Label: Month in which R was born Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 JANUARY 2 FEBRUARY 3 MARCH 4 APRIL 5 MAY 6 JUNE 7 JULY 8 AUGUST 9 SEPTEMBER 10 OCTOBER 11 NOVEMBER 12 DECEMBER 98 DK 99 NA	5797
ZODIAC	Label: Respondents astrological sign Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 ARIES 2 TAURUS 3 GEMINI 4 CANCER 5 LEO 6 VIRGO 7 LIBRA 8 SCORPIO 9 SAGITTARIUS 10 CAPRICORN 11 AQUARIUS 12 PISCES 98 DK 99 NA	5798
INTHISP	Label: Is interviewer Spanish, Hispanic or latino Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 NOT HISPANIC 2 MEXICAN, MEXICAN AMERICAN, CHICANO/A 3 PUERTO RICAN 4 CUBAN 5 SALVADORIAN 6 GUATEMALAN 7 PANAMANIAN 8 NICARAGUAN 9 COSTA RICAN 10 CENTRAL AMERICAN 11 HONDURAN 15 DOMINICAN 16 WEST INDIAN 20 PERUVIAN 21 EQUADORIAN 22 COLUMBIAN 23 VENEZUELAN 24 Argentinian 27 COLOMBIAN 30 SPANISH 31 BASQUE 35 FILIPINO/A 40 LATIN AMERICAN 41 SOUTH AMERICAN 45 LATIN 46 LATINO/A 47 HISPANIC 50 OTHER, NOT SPECIFIED 98 DK 99 NA	5799
INTRACE1	Label: Interviewer s race1 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 White 2 Black or African 3 American Indian 4 Asian Indian 5 Chinese 6 Filipino 7 Japanese 8 Korean 9 Vietnamese 10 Other Asian 11 Native Hawaiian 12 Guamanian or Chamorro 13 Samoan 14 Other Pacific Islander 15 Some other race 16 Hispanic 98 Dont Know 99 No Answer	5800
INTRACE2	Label: Interviewer s race2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 White 2 Black or African 3 American Indian 4 Asian Indian 5 Chinese 6 Filipino 7 Japanese 8 Korean 9 Vietnamese 10 Other Asian 11 Native Hawaiian 12 Guamanian or Chamorro 13 Samoan 14 Other Pacific Islander 15 Some other race 16 Hispanic 98 Dont Know 99 No Answer	5801
INTRACE3	Label: Interviewer s race3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 White 2 Black or African 3 American Indian 4 Asian Indian 5 Chinese 6 Filipino 7 Japanese 8 Korean 9 Vietnamese 10 Other Asian 11 Native Hawaiian 12 Guamanian or Chamorro 13 Samoan 14 Other Pacific Islander 15 Some other race 16 Hispanic 98 Dont Know 99 No Answer	5802
BTHGRP1A	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5803
BTHGRP1B	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5804
BTHGRP1C	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5805
BTHGRP1D	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5806
BTHGRP1E	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5807
BTHGRP1F	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5808
BTHGRP2A	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5809
BTHGRP2B	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5810
BTHGRP2C	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5811
BTHGRP2D	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5812
BTHGRP2E	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5813
BTHGRP2F	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5814
BTHGRP3A	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5815
BTHGRP3B	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5816
BTHGRP3C	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5817
BTHGRP3D	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5818
BTHGRP3E	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5819
BTHGRP3F	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5820
BTHGRP4A	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5821
BTHGRP4B	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5822
BTHGRP4C	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5823
BTHGRP4D	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5824
BTHGRP4E	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5825
BTHGRP4F	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5826
BTHGRP5A	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5827
BTHGRP5B	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5828
BTHGRP5C	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5829
BTHGRP5D	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5830
BTHGRP5E	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5831
BTHGRP5F	Label: What are the groups you both belong to? Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5832
FRSTGRP1	Label: Which group meet name1 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5833
FRSTGRP2	Label: Which group meet name2 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5834
FRSTGRP3	Label: Which group meet name3 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5835
FRSTGRP4	Label: Which group meet name4 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5836
FRSTGRP5	Label: Which group meet name5 Format: F2.0 Measure: Nominal Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 Fraternal groups 2 Service clubs 3 Veterans groups 4 Political clubs 5 Labor unions 6 Sports groups 7 Youth groups 8 School service groups 9 Hobby or garden clubs 10 School fraternities or sororities 11 Nationality groups 12 Farm organizations 13 Literary art discussion or study groups 14 Professional or academic societies 15 Church-affiliated groups 16 Other groups 98 Don't know 99 No answer	5837
WHOELSE1	Label: Presence of others: children under six Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	5838
WHOELSE2	Label: Presence of others: older children Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	5839
WHOELSE3	Label: Presence of others: spouse partner Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	5840
WHOELSE4	Label: Presence of others: other relatives Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	5841
WHOELSE5	Label: Presence of others: other adults Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	5842
WHOELSE6	Label: Presence of others: no one Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DONT KNOW 9 NO ANSWER	5843
SAQISSP	Label: R did issp module Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0 Value Label 0 IAP 1 R DID ISSP 2 ADMINISTERED BY INTERVIEWER 3 PROMISED, BUT DID NOT DO 4 R DID NOT DO ISSP 5 R DID, BUT NOT SURE MODE	5844
SAQSEX	Label: R did sex module Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0 Value Label 0 IAP 1 R DID SEX SAQ 2 ADMINISTERED BY INTERVIEWER 3 PROMISED, BUT DID NOT DO 4 R DID NOT DO SEX 5 R DID, BUT NOT SURE MODE	5845
SAQGENE	Label: R did gene module for 2004 Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0 Value Label 0 IAP 1 R DID GENE SAQ 2 ADMINISTERED BY INTERVIEWER 3 R DID NOT DO GENE	5846
INTID	Label: Interviewer id Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 IAP	5847
FEEUSED	Label: Fee given to get case Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES, MONEY 2 YES, OTHER (FLOWERS, FOOD, ETC.) 3 NO 8 DONT KNOW 9 NA	5848
FEELEVEL	Label: Amount of fees paid Format: F3.0 Measure: Nominal Display Width: 8 Missing Values: 0; 998; 999 Value Label 0 IAP 75 $75+ 998 DONT KNOW 999 NO ANSWER	5849
LNGTHINV	Label: How long was interview Format: F3.1 Measure: Scale Display Width: 8 Missing Values: 0; 998; 999 Value Label .0 IAP 30.0 30 min or less 200.0 200 min and more 998.0 DONT KNOW 999.0 NO ANSWER	5850
INTAGE	Label: Age of interviewer Format: F2.0 Measure: Scale Display Width: 8 Missing Values: 0; 99 Value Label 0 IAP 25 25 years old 99 NO ANSWER	5851
EASYGET	Label: How difficult was case to get Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 VERY EASY 2 SOMEWHAT EASY 3 SOMEWHAT DIFFICULT 4 VERY DIFFICULT 8 DONT KNOW 9 NO ANSWER	5852
INTETHN	Label: Race of interviewer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 WHITE 2 BLACK 3 HISPANIC 4 ASIAN 5 TWO OR MORE RACE 9 NO ANSWER	5853
MODE	Label: Interview done in-person or over the phone Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 IN-PERSON 2 OVER THE PHONE 3 COMBINATION IN-PERSON/PHONE 8 DONT KNOW 9 NA	5854
INTSEX	Label: Sex of interviewer Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 9 Value Label 0 IAP 1 MALE 2 FEMALE 9 NO ANSWER	5855
INTYRS	Label: Years of service as an interviewer at norc Format: F5.1 Measure: Scale Display Width: 8 Missing Values: -1; 99 Value Label -1.0 IAP .0 99.0 NO ANSWER	5856
CONSENT	Label: Participation/recording consent Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 9 Value Label 0 IAP 1 R CONSENTS TO RECORDING INTERVIEW 2 R CONSENTS TO PARTCIPATE IN THE SURVEY BUT DOES NOT WANT TO BE RECORDED 9 NO ANSWER	5857
PILLOKY	Label: Birth control to teenagers 14-16 (form 2) Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Strongly agree 2 Agree 3 Disagree 4 Strongly disagree 8 DONT KNOW 9 NA	5858
POPESPKY	Label: Pope is infallible on matteR's of faith or morals (form 2) Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Certainly false 2 Probably false 3 I am uncertain whether this is false or true 4 Probably true 5 Certainly true 8 DONT KNOW 9 NA	5859
POLHITOY	Label: Ever approve of police striking citizen (form 2) Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	5860
LETDIE1Y	Label: Allow incurable patients to die (form 2) Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Yes 2 No 8 DONT KNOW 9 NA	5861
BALLOT	Label: Ballot used for interview Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0 Value Label 0 IAP 1 BALLOT A 2 BALLOT B 3 BALLOT C 4 BALLOT D	5862
VERSION	Label: Version of questionnaire Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0	5863
ISSP	Label: Filter for ISSP cases Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 DID ISSP 2 DIDNT DO ISSP	5864
FORMWT	Label: Weight deal with experimental randomization Format: F5.3 Measure: Scale Display Width: 8	5865
SAMPCODE	Label: Sampling error code Format: F3.0 Measure: Scale Display Width: 8 Missing Values: 0 Value Label 0 IAP	5866
SAMPLE	Label: Sampling frame and method Format: F1.0 Measure: Nominal Display Width: 8 Value Label 1 1960 BQ 2 1970 BQ 3 1970 FP 4 1970 FP BLK OVERSAMP 5 1980 BFP BLK OVERSAMP 6 1980 FP 7 1980 FP BLK OVERSAMP 8 1990 FP 9 2000 FP 10 2010 FP	5867
OVERSAMP	Label: Weights for black oversamples Format: F6.4 Measure: Nominal Display Width: 8	5868
PHASE	Label: Subsampling: two-phase design. Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0 Value Label 0 IAP 1 PHASE ONE - INITIAL CASES 2 PHASE TWO - SUB SAMPLED CASES	5869
SPANSELF	Label: If this interview had only been available in English, would you... Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 Have been able to do the interview easily in English 2 Have been able to do the interview with difficulty 3 Not have been able to do the interview 8 Dont Know 9 No Answer	5870
SPANINT	Label: If no Spanish, R could have been interviewed in English Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 COULD HAVE BEEN INTERVIEWED IN ENGLISH 2 WOULD HAVE BEEN EXCLUDED AS LANGUAGE PROBLEM 8 Dont Know 9 No Answer	5871
SPANENG	Label: Interviews conducted in Spanish or English Format: F1.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 ENGLISH 2 SPANISH 9 No answer	5872
RES2006	Label: Was R living in usa during March-May 2006 Format: F1.0 Measure: Nominal Display Width: 9 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIVING IN THE U.S. 2 NOT LIVING IN U.S. 8 DONT KNOW 9 NA	5873
RES2008	Label: Was R living in usa during April-June 2008 Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIVING IN THE U.S. 2 NOT LIVING IN U.S. 8 DONT KNOW 9 NA	5874
RES2010	Label: Was R living in usa during April-June 2010 Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIVING IN THE U.S. 2 NOT LIVING IN U.S. 8 DONT KNOW 9 NA	5875
RES2012	Label: Was R living in usa during April-June 2012 Format: F8.0 Measure: Nominal Display Width: 8 Value Label 1 LIVING IN THE U.S. 2 NOT LIVING IN U.S. 8 DON'T KNOW 9 REFUSED	5876
CSHUTYP06	Label: During March-May 2006, was R resident in household or institution Format: F1.0 Measure: Nominal Display Width: 10 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIVING IN HOUSEHOLD 2 LIVING IN INSTITUTION 3 HOMELESS (VOLUNTEERED) 4 OTHER 8 DONT KNOW 9 NA	5877
CSHUTYP08	Label: During April-June 2008, was R resident in household or institution Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIVING IN HOUSEHOLD 2 LIVING IN INSTITUTION 3 HOMELESS (VOLUNTEERED) 4 OTHER 8 DONT KNOW 9 NA	5878
CSHUTYP10	Label: During April-June 2010, was R resident in household or institution Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIVING IN HOUSEHOLD 2 LIVING IN INSTITUTION 3 HOMELESS (VOLUNTEERED) 4 OTHER 8 DONT KNOW 9 NA	5879
CSHUTYP12	Label: During April-June 2012, was R resident in household or institution Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 LIVING IN HOUSEHOLD 2 LIVING IN INSTITUTION 3 HOMELESS (VOLUNTEERED) 4 OTHER 8 DON'T KNOW 9 No answer	5880
HLTHSTRT	Label: Would you say the respondent? health in general is excellent, good, fair, or poor? Format: F8.0 Measure: Nominal Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXCELLENT 2 GOOD 3 FAIR 4 POOR 8 DK 9 NA	5881
HUADD	Label: Housing unit (HU) at address? Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DON'T KNOW 9 NO ANSWER	5882
HUADDWHY	Label: Why there is no hu at this address Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 CONDEMNED 2 DEMOLISHED 3 PLACE OF BUSINESS WITHOUT RESIDENCE 4 NO SUCH ADDRESS, NO SUCH HU 5 GROUP QUARTERS 6 VACATION CABIN 7 NOT USABLE AS A PERMANENT RESIDENCE 8 TRANSIENT USE (LESS THAN ONE MONTH) 9 NOT AN HU FOR OTHER REASON (SPECIFY ON NEXT PAGE) 10 UNDER CONSTRUCTION 98 DON'T KNOW 99 NO ANSWER	5883
DWELLPRE	Label: Type of structure in which the respondent lives Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 98; 99 Value Label 0 IAP 1 TRAILER 2 DETACHED SINGLE FAMILY HOUSE 3 2-FAMILY HOUSE, 2 UNITS SIDE-BY-SIDE 4 2-FAMILY HOUSE, 2 UNITS ONE ABOVE THE OTHER 5 DETACHED 3-4 FAMILY HOUSE 6 ROW HOUSE (3 OR MORE UNITS IN AN ATTACHED ROW) 7 APARTMENT HOUSE (5 OR MORE UNITS, 3 STORIES OR LESS) 8 APARTMENT HOUSE (5 OR MORE UNITS, 4 STORIES OR MORE) 9 APARTMENT IN A PARTLY COMMERCIAL STRUCTURE 10 OTHER (SPECIFY ON NEXT PAGE) 98 DON'T KNOW 99 NO ANSWER	5884
KIDSINHH	Label: Does interviewer believe that there are children under the age of 15 present at this household Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 YES 2 NO 8 DON'T KNOW 9 NO ANSWER	5885
RESPOND	Label: Estimate of the probability that this household will respond to the survey Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HIGH 2 LOW 8 DON'T KNOW 9 NO ANSWER	5886
INCUSPOP	Label: Estimated income status of housing unit Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 HIGHER THAN AVERAGE 2 AVERAGE 3 LOWER THAN AVERAGE 8 DON'T KNOW 9 NO ANSWER	5887
NEISAFE	Label: How safe interviewer thinks neighborhood is Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY SAFE 2 SOMEWHAT SAFE 3 SOMEWHAT UNSAFE 4 VERY UNSAFE 8 DON'T KNOW 9 NO ANSWER	5888
RLOOKS	Label: R physical attractiveness rating Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY UNATTRACTIVE 2 UNATTRACTIVE 3 ABOUT AVERAGE 4 ATTRACTIVE 5 VERY ATTRACTIVE 8 DON'T KNOW 9 NO ANSWER	5889
RGROOMED	Label: R grooming rating Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY POORLY GROOMED 2 POORLY GROOMED 3 ABOUT AVERAGE 4 WELL GROOMED 5 VERY WELL GROOMED 8 DON'T KNOW 9 NO ANSWER	5890
RWEIGHT	Label: R weight rating Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 VERY OVERWEIGHT 2 SLIGHTLY OVERWEIGHT 3 ABOUT THE RIGHT WEIGHT 4 SLIGHTLY UNDERWEIGHT 5 VERY UNDERWEIGHT 8 DON'T KNOW 9 NO ANSWER	5891
RHLTHEND	Label: R health rating Format: F8.0 Measure: Scale Display Width: 8 Missing Values: 0; 8; 9 Value Label 0 IAP 1 EXCELLENT 2 GOOD 3 FAIR 4 POOR 8 DON'T KNOW 9 NO ANSWER	5892
WTSS	Label: Weight variable Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	5893
WTSSNR	Label: Weight variable Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	5894
WTSSALL	Label: Weight variable Format: F5.2 Measure: Scale Display Width: 8 Missing Values: -1 Value Label -1.00 IAP	5895
VSTRAT	Label: Variance stratum Format: F8.0 Measure: Scale Display Width: 16 Missing Values: -1 Value Label -1 IAP	5896
VPSU	Label: Variance primary sampling unit Format: F8.0 Measure: Scale Display Width: 16 Missing Values: -1 Value Label -1 IAP	5897